Triple

T3249736
Position Surface form Disambiguated ID Type / Status
Subject At the ’Cadian Ball E68146 entity
Predicate mainCharacter P1183 FINISHED
Object Calixta
Calixta is a passionate, impulsive young woman in Kate Chopin’s short story “At the ’Cadian Ball,” whose desires and choices drive much of the narrative’s emotional tension.
E340864 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Calixta | Statement: [At the ’Cadian Ball, mainCharacter, Calixta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calixta
Context triple: [At the ’Cadian Ball, mainCharacter, Calixta]
  • A. Marguerite
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • B. Marguerite Courtot
    Marguerite Courtot was an American silent film actress known for her work in early 20th-century cinema, particularly in serials and adventure films.
  • C. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • D. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • E. Marthe
    Marthe is a feminine given name, commonly used in French and other European languages, that is a variant of the name Martha.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Calixta
Triple: [At the ’Cadian Ball, mainCharacter, Calixta]
Generated description
Calixta is a passionate, impulsive young woman in Kate Chopin’s short story “At the ’Cadian Ball,” whose desires and choices drive much of the narrative’s emotional tension.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Calixta
Target entity description: Calixta is a passionate, impulsive young woman in Kate Chopin’s short story “At the ’Cadian Ball,” whose desires and choices drive much of the narrative’s emotional tension.
  • A. Marguerite
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • B. Marguerite Courtot
    Marguerite Courtot was an American silent film actress known for her work in early 20th-century cinema, particularly in serials and adventure films.
  • C. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • D. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • E. Marthe
    Marthe is a feminine given name, commonly used in French and other European languages, that is a variant of the name Martha.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776934108190ac405ba5ebd47084 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27c2c16188190af03674ead3944de completed March 12, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_69b27ca63b1c8190ac6f67aef6d2c7e1 completed March 12, 2026, 8:43 a.m.
Created at: March 8, 2026, 3:09 p.m.