Triple

T8978629
Position Surface form Disambiguated ID Type / Status
Subject Kirk Wise E214463 entity
Predicate coDirected P7732 FINISHED
Object The Hunchback of Notre Dame
The Hunchback of Notre Dame is a 1996 Disney animated musical drama film, loosely based on Victor Hugo’s novel, that follows the deformed bell-ringer Quasimodo as he struggles for acceptance and justice in medieval Paris.
E771541 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: The Hunchback of Notre Dame | Statement: [Kirk Wise, coDirected, The Hunchback of Notre Dame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hunchback of Notre Dame
Context triple: [Kirk Wise, coDirected, The Hunchback of Notre Dame]
  • A. "Notre-Dame de Paris" (The Hunchback of Notre-Dame)
    "Notre-Dame de Paris" (The Hunchback of Notre-Dame) is Victor Hugo’s 1831 historical novel set in medieval Paris, centering on the tragic lives of Quasimodo, Esmeralda, and others around the iconic cathedral, and renowned for its romantic, Gothic atmosphere and social critique.
  • B. The Bells of Notre Dame
    "The Bells of Notre Dame" is the sweeping, choral-driven opening number of the stage musical adaptation of The Hunchback of Notre Dame that introduces the story’s central characters, themes, and setting.
  • C. The Angel Esmeralda
    The Angel Esmeralda is a collection of short stories by Don DeLillo that showcases his signature exploration of paranoia, mortality, and contemporary American life.
  • D. Danse mon Esmeralda
    "Danse mon Esmeralda" is a powerful, emotional ballad from the 1998 French musical Notre-Dame de Paris, sung by Quasimodo as a climactic tribute to his love for Esmeralda.
  • E. Four Horsemen of Notre Dame
    The Four Horsemen of Notre Dame were the legendary backfield of Notre Dame's 1920s football team, celebrated as one of the most famous and dominant units in college football history.
  • 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: The Hunchback of Notre Dame
Triple: [Kirk Wise, coDirected, The Hunchback of Notre Dame]
Generated description
The Hunchback of Notre Dame is a 1996 Disney animated musical drama film, loosely based on Victor Hugo’s novel, that follows the deformed bell-ringer Quasimodo as he struggles for acceptance and justice in medieval Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Hunchback of Notre Dame
Target entity description: The Hunchback of Notre Dame is a 1996 Disney animated musical drama film, loosely based on Victor Hugo’s novel, that follows the deformed bell-ringer Quasimodo as he struggles for acceptance and justice in medieval Paris.
  • A. "Notre-Dame de Paris" (The Hunchback of Notre-Dame)
    "Notre-Dame de Paris" (The Hunchback of Notre-Dame) is Victor Hugo’s 1831 historical novel set in medieval Paris, centering on the tragic lives of Quasimodo, Esmeralda, and others around the iconic cathedral, and renowned for its romantic, Gothic atmosphere and social critique.
  • B. The Bells of Notre Dame
    "The Bells of Notre Dame" is the sweeping, choral-driven opening number of the stage musical adaptation of The Hunchback of Notre Dame that introduces the story’s central characters, themes, and setting.
  • C. The Angel Esmeralda
    The Angel Esmeralda is a collection of short stories by Don DeLillo that showcases his signature exploration of paranoia, mortality, and contemporary American life.
  • D. Danse mon Esmeralda
    "Danse mon Esmeralda" is a powerful, emotional ballad from the 1998 French musical Notre-Dame de Paris, sung by Quasimodo as a climactic tribute to his love for Esmeralda.
  • E. Four Horsemen of Notre Dame
    The Four Horsemen of Notre Dame were the legendary backfield of Notre Dame's 1920s football team, celebrated as one of the most famous and dominant units in college football history.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0afe9688190bdd66198ab31c2c7 completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd14a28d48190b63561f9a537daeb completed April 3, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfd1fd6db08190921285c3cfd3ce91 completed April 3, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:03 p.m.