Interpreting Literary Characters Through Diagnostic Properties
Abstract
1. Introduction
if explicit meanings are assigned to a literary text on the basis of textual evidence and a process of inference based on criteria of rationality, then they are not in any way ‘given’, but created in the interplay between ‘textual data’ and inferential relations, and that means constructed. As a result, there is no ultimately valid, ‘true’ interpretation, because both the data and the inferential processes can be challenged.(pp. 22–23; emphasis is ours)
2. Diagnostic Properties: An Overview of the Debate
2.1. Internal and External Properties
if everyone agrees that the predicate stands for an ordinary property of individuals, then it’s a nuclear predicate, and it stands for a nuclear property. On the other hand, if everyone agrees that it doesn’t stand for an ordinary property of individuals (for whatever reason), or if there’s a history of controversy about whether it stands for a property of individuals, then it’s an extranuclear predicate, and it does not stand for a nuclear property. Of course, this ‘decision procedure’ is a very imperfect one.(p. 24)
If a character c is determined as F, then c exemplifies (i.e., has) the property of being F as an internal property (i.e., c exemplifies the property of being F according to a story).(p. 118; emphasis is ours)
If a character c is F, then c exemplifies the property of being F as an external property.(ibid.; emphasis is ours)
2.2. Properties Attribution
3. The Interpretive Game
3.1. Pragmatic Stipulations
3.2. Public Commitments
3.3. From Commitments to Interpretations
4. Characterization of Literary Characters and Their Relations
4.1. Diagnostic Properties
4.2. Relations Between Characters
- (c1)
- Suppose that R are the sentences individuating the diagnostic traits for the character named n in T according to a (i.e., ), and S are the sentences for the traits of m in U according to b (i.e., ). Sentences R and S are equivalent for interpreter c if and only if: according to c, in the context of the text T the sentences R are equivalent to the sentences S once m has been substituted with n; and according to c, in the context of the text U the sentences S are equivalent to the sentences R once n has been substituted with m.
- (c2)
- Suppose that R are the sentences individuating the diagnostic traits for the character named n in text T according to interpreter a (i.e., ), and S are the sentences for the traits of m in U according to b (i.e., ). Sentences R and S are incompatible for interpreter c if and only if: according to c, in the context of the text T the sentences R are incompatible with the sentences S once m has been substituted with n; and according to c, in the context of the text U the sentences S are incompatible with the sentences R once n has been substituted with m.21
4.3. Fictional Characters and Real People
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
| 1 | |
| 2 | |
| 3 | |
| 4 | According to Kroon and Voltolini (2023), in the current state of the debate, dual-copula Meinongianism is considered a better approach than nuclear Meinongianism, as it better explains how the same property can be predicated to both real-world and fictional entities. |
| 5 | |
| 6 | There is an ongoing debate in philosophy, literary studies, and the Digital Humanities regarding what should be considered a work: see Masolo et al. (2021); Sanfilippo et al. (2024). |
| 7 | Sanfilippo et al. (2024) rely on (Segmented) Discourse Representation Theory (DRT) (Kamp et al. 2010; Lascarides and Asher 2007), which has been applied to the analysis of fictional discourse, too; see, e.g., the work of Maier (2017). |
| 8 | One may even adopt psychologistic semantics, where fictional names refer to interpreters’ mental attitudes rather than entities in the external reality (Maier 2017). Although we do not explore this approach in the current proposal (see (Sanfilippo et al. 2024) for further discussion), it corroborates the idea that agreements between interpreters occur as linguistic facts, whereas the interpreters may have different (mentally grounded) ontological commitments. |
| 9 | Admittedly, one might rely on non-classical logic such as free logic (Gratzl et al. 2025), whose domain of quantification is empty, avoiding ontological commitments altogether (see, e.g., the contribution of Favazzo (2025) to the debate on ficta). We leave this investigation open to future work. |
| 10 | As a simplification hypothesis, we focus only on proper names, but the approach can be extended to consider definite descriptions as well. |
| 11 | We do not consider a specific type of inference system. Inference could therefore be understood from the perspective of alternative systems, e.g., based on classical logic, as well as probabilistic or paraconsistent logic. |
| 12 | Consider the sentence “All farmers have a tractor”, whose meaning can be either “All farmers share the same tractor” or “Each farmer owns her own tractor.” Confronting this kind of ambiguity, an interpreter may choose (perhaps unconsciously) a specific interpretation or recognize and embrace the ambiguity. The same goes for other semantic or contextual ambiguities. |
| 13 | |
| 14 | Our goal is to ensure consistency so that the inference process remains meaningful. However, one could also consider paraconsistent logics (Priest et al. 2025) or some other form of controlled inconsistencies to preserve the possibility of making inferences on inconsistent bodies of information. Furthermore, we do not consider inconsistent texts and assume that fictional entities are always logically consistent; see Berto (2013) for a different view committed to impossible worlds. |
| 15 | Our approach adopts a pretense-mediated variant of the so-called reality assumption (Friend 2017). |
| 16 | As for interpretations, the selection of diagnostic traits can be generalized to groups of agents. |
| 17 | In , the text T must play a role in the inference, i.e., the information in T contributes to the entailment of the information in s. |
| 18 | Criterion (c1), which is based on the work presented by Sanfilippo et al. (2024), can be easily extended to groups of interpreters. The criterion can also be extended to include the relationships between the character under analysis and other characters. |
| 19 | We will often consider the case with a single interpreter, i.e., ; criterion (c1) is more general. |
| 20 | This does not rule out the possibility that an author, more or less explicitly, points to a character, for example through the character’s name, to entirely subvert the readers’ expectations. An example might be Brancati’s novel Il bell’Antonio (1949), whose protagonist is known to be a womanizer, but is, instead, impotent. The link between Antonio and Don Juan is further reinforced by the fact that Brancati had already written a novel called Don Giovanni in Sicilia (1941), where he had already begun to deconstruct this character. |
| 21 | This criterion also holds for the case where and , i.e., interpreters interpret a single name with respect to a single text. |
| 22 | As said, we do not consider characters who can have incompatible properties. |
References
- Barolini, Teodolinda. 2000. Dante and Francesca da Rimini: Realpolitik, Romance, Gender. Speculum 75: 1–28. [Google Scholar] [CrossRef]
- Berto, Francesco. 2013. Existence as a Real Property. Berlin and Heidelberg: Springer. [Google Scholar]
- Buzzoni, Marco. 2025. Empirical-scientific and Fictional Thought Experiments: A Comparison. Global Philosophy 35: 5. [Google Scholar] [CrossRef]
- Caracciolo, Marco. 2016. Cognitive Literary Studies and the Status of Interpretation: An Attempt at Conceptual Mapping. New Literary History 47: 187–207. [Google Scholar] [CrossRef]
- Eco, Umberto. 2009. On the Ontology of Fictional Characters: A Semiotic Approach. Σημειωτκή-Sign Systems Studies 37: 82–98. [Google Scholar] [CrossRef]
- Favazzo, Jansan. 2025. Fiction without Fictional Characters: An anti-realist Account. In Metaphysica. Berlin and Heidelberg: De Gruyter Brill. [Google Scholar]
- Fine, Kit. 1982. The Problem of Non-Existents. Ann Arbor: University of Michigan. [Google Scholar]
- Friend, Stacie. 2017. The Real Foundation of Fictional Worlds. Australasian Journal of Philosophy 95: 29–42. [Google Scholar] [CrossRef]
- Galván, Luis. 2017. Counterfactual Claims about Fictional Characters: Philosophical and Literary Perspectives. Journal of Literary Semantics 46: 87–107. [Google Scholar] [CrossRef]
- Gius, Evelyn, and Janina Jacke. 2017. The Hermeneutic Profit of Annotation: On Preventing and Fostering Disagreement in Literary Analysis. International Journal of Humanities and Arts Computing 11: 233–54. [Google Scholar] [CrossRef]
- Gratzl, Norbert, Edi Pavlović, and John Nolt. 2025. Free Logic. In The Stanford Encyclopedia of Philosophy, Summer 2025 ed. Edited by Edward N. Zalta and Uri Nodelman. Stanford: Metaphysics Research Lab, Stanford University. [Google Scholar]
- Hempfer, Klaus W. 2024. Fundamentals of Literary Theory. Berlin and Heidelberg: Springer. [Google Scholar]
- Hirsch, Eli. 2005. Physical-object Ontology, Verbal Disputes, and Common Sense. Philosophy and Phenomenological Research 70: 67–97. [Google Scholar] [CrossRef]
- Jacke, Janina. 2014. Is There a Context-free Way of Understanding texts? The Case of Structuralist Narratology. Journal of Literary Theory 8: 118–39. [Google Scholar] [CrossRef]
- Kamp, Hans, Josef Van Genabith, and Uwe Reyle. 2010. Discourse Representation Theory. In Handbook of Philosophical Logic: Volume 15. Berlin and Heidelberg: Springer, pp. 125–394. [Google Scholar]
- Krausz, Michael. 2010. Is There a Single Right Interpretation? University Park: Penn State Press. [Google Scholar]
- Kroon, Fred, and Alberto Voltolini. 2023. Fictional Entities. In The Stanford Encyclopedia of Philosophy, Fall 2023 ed. Edited by Edward N. Zalta and Uri Nodelman. Stanford: Metaphysics Research Lab, Stanford University. [Google Scholar]
- Lascarides, Alex, and Nicholas Asher. 2007. Segmented Discourse Representation Theory: Dynamic Semantics with Discourse Structure. In Computing Meaning. Berlin and Heidelberg: Springer, pp. 87–124. [Google Scholar]
- Latham, Monica. 2015. Clarissa Dalloway’s Itinerary: Narrative Identity across Texts. Revue Électronique d’études sur le Monde Anglophone (e-Rea) 13. [Google Scholar] [CrossRef]
- Macchia, Giovanni. 1991. Vita, Avventure e Morte di Don Giovanni. Milano: Adelphi. [Google Scholar]
- Maier, Emar. 2017. Fictional Names in Psychologistic Semantics. Theoretical Linguistics 43: 1–45. [Google Scholar] [CrossRef]
- Margolin, Uri. 1990. The What, the When, and the How of Being a Character in Literary Narrative. Style 24: 453–68. [Google Scholar]
- Masolo, Claudio, Emilio M. Sanfilippo, Roberta Ferrario, and Elena Pierazzo. 2021. Texts, Compositions, and Works: A Socio-cultural Perspective on Information Entities. Paper presented at JOWO 2021—Proceedings of the Joint Ontology Workshops (CEUR-WS), Bolzano, Italy, September 11–18, vol. 2969. [Google Scholar]
- Olsen, Stein, and Anders Pettersson. 2005. From Text to Literature: New Analytic and Pragmatic Approaches. Berlin and Heidelberg: Springer. [Google Scholar]
- Orilia, Francesco. 2025. Fictional Characters as Story-free Denoting Concepts. Humanities 14: 112. [Google Scholar] [CrossRef]
- Paganini, Elisa. 2020. Vague Fictional Objects. Inquiry 63: 158–64. [Google Scholar] [CrossRef]
- Parey, Armelle, and Isabelle Roblin. 2015. Character Migration in Anglophone Literature. Revue Électronique d’études sur le Monde Anglophone (e-Rea) 13. [Google Scholar] [CrossRef]
- Parsons, Terence. 1980. Nonexistent Objects. London: Yale University Press. [Google Scholar]
- Phelan, James. 1989. Reading People, Reading Plots: Character, Progression, and the Interpretation of Narrative. Chicago: University of Chicago Press. [Google Scholar]
- Pierazzo, Elena, and Sabrina Ferrara. 2021. Boccaccio umanista e le humanities digitali. Linguistica e Letteratura XLVI: 147–71. [Google Scholar]
- Porello, Daniele, and Ulle Endriss. 2014. Ontology Merging as Social Choice: Judgment Aggregation under the Open World Assumption. Journal of Logic and Computation 24: 1229–49. [Google Scholar] [CrossRef]
- Porello, Daniele, Emilio M. Sanfilippo, and Alessandro Mosca. 2025. Measuring Similarities of Literary Characters. In Formal Ontology in Information Systems. Amsterdam: IOS Press. [Google Scholar]
- Porello, Daniele, Nicolaas Troquard, Oliver Kutz, Rafael Penaloza, Roberto Confalonieri, and Pietro Galliani. 2018. Two Approaches to Ontology Aggregation based on Axiom Weakening. Paper presented at Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, Stockholm, Sweden, July 13–19; Washington: AAAI Press, vol. 2018, pp. 1942–48. [Google Scholar]
- Priest, Graham, Koji Tanaka, and Zach Weber. 2025. Paraconsistent Logic. In The Stanford Encyclopedia of Philosophy, Spring 2025 ed. Edited by Edward N. Zalta and Uri Nodelman. Stanford: Metaphysics Research Lab, Stanford University. [Google Scholar]
- Reicher, Maria. 2010. The Ontology of Fictional Characters. In Characters in Fictional Worlds. Berlin: Walter de Gruyter, pp. 111–33. [Google Scholar]
- Reicher, Maria. 2022. Nonexistent Objects. In The Stanford Encyclopedia of Philosophy, Winter 2022 ed. Edited by Edward N. Zalta and Uri Nodelman. Stanford: Metaphysics Research Lab, Stanford University. [Google Scholar]
- Richardson, Brian. 2011. Transtextual characters. In Characters in Fictional Worlds: Understanding Imaginary Beings in Literature, Film, and Other Media. Edited by Jens Eder, Fotis Jannidis and Ralf Schneider. Berlin: De Gruyter, pp. 527–41. [Google Scholar]
- Sainsbury, Richard Mark. 2009. Fiction and Fictionalism. Abingdon: Routledge. [Google Scholar]
- Saint-Gelais, Richard. 2011. Fictions transfuges: La transfictionnalité et ses enjeux. Paris: Seuil. [Google Scholar]
- Sanfilippo, Emilio M., Claudio Masolo, Roberta Ferrario, and Emanuele Bottazzi. 2024. Interpreting Texts and Their Characters. In Formal Ontology in Information Systems (FOIS 2024). Amsterdam: IOS Press, pp. 119–33. [Google Scholar]
- Sanfilippo, Emilio M., Laura Antonietti, and Elena Pierazzo. 2024. Texts and Works: Ontology-based Modeling Patterns. Paper presented at JOWO 2024—Proceedings of the Joint Ontology Workshops (CEUR-WS), Enschede, The Netherlands, July 15–19, vol. 3882. [Google Scholar]
- Schöch, Christof, Maria Hinzmann, Julia Röttgermann, Katharina Dietz, and Anne Klee. 2022. Smart Modelling for Literary History. International Journal of Humanities and Arts Computing 16: 78–93. [Google Scholar] [CrossRef]
- Smith, Edward E., Daniel N. Osherson, Lance J. Rips, and Margaret Keane. 1988. Combining Prototypes: A Selective Modification Model. Cognitive Science 12: 485–527. [Google Scholar] [CrossRef]
- Thomasson, Amie L. 2003. Fictional Characters and Literary Practices. British Journal of Aesthetics 43: 138. [Google Scholar] [CrossRef]
- Tucker, Nicholas. 2015. Character Migration: The case of Sherlock Holmes. Revue Électronique d’études sur le Monde Anglophone (e-Rea) 13. [Google Scholar] [CrossRef]
- Voltolini, Alberto. 2006. How Ficta Follow Fiction: A Syncretistic Account of Fictional Entities. Berlin/Heidelberg: Springer Science & Business Media, vol. 105. [Google Scholar]
- Willis, Ika. 2017. Reception. Abingdon: Routledge. [Google Scholar]
- Wittgenstein, Ludwig. 2009. Philosophical Investigations. London: Blackwell. [Google Scholar]
- Zalta, Edward. 1983. Abstract Objects: An Introduction to Axiomatic Metaphysics. Dordrecht: D. Reidel. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Sanfilippo, E.M.; Masolo, C.; Tomazzoli, G. Interpreting Literary Characters Through Diagnostic Properties. Humanities 2025, 14, 213. https://doi.org/10.3390/h14110213
Sanfilippo EM, Masolo C, Tomazzoli G. Interpreting Literary Characters Through Diagnostic Properties. Humanities. 2025; 14(11):213. https://doi.org/10.3390/h14110213
Chicago/Turabian StyleSanfilippo, Emilio M., Claudio Masolo, and Gaia Tomazzoli. 2025. "Interpreting Literary Characters Through Diagnostic Properties" Humanities 14, no. 11: 213. https://doi.org/10.3390/h14110213
APA StyleSanfilippo, E. M., Masolo, C., & Tomazzoli, G. (2025). Interpreting Literary Characters Through Diagnostic Properties. Humanities, 14(11), 213. https://doi.org/10.3390/h14110213

