Triple

T13277228
Position Surface form Disambiguated ID Type / Status
Subject Jean Yanne E316221 entity
Predicate actedIn P1668 FINISHED
Object Que la bête meure
Que la bête meure is a 1969 French psychological revenge thriller film directed by Claude Chabrol, based on a novel by Cecil Day-Lewis.
 E1031839 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: Que la bête meure | Statement: [Jean Yanne, actedIn, Que la bête meure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Que la bête meure
Context triple: [Jean Yanne, actedIn, Que la bête meure]
  • A. Le Blaireau
    Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
  • B. Le Loup
    Le Loup is a ballet choreographed by Roland Petit, known for its dramatic narrative and expressive, modern theatrical style.
  • C. L’Âme tigrée
    L’Âme tigrée is a work by French philosopher and anthropologist Gilbert Durand that explores symbolic imagination and mythic structures in human consciousness.
  • D. L'odeur des fauves
    L'odeur des fauves is a film featuring French-American actress Josephine Chaplin, known for her work in European cinema.
  • E. The Dying Animal
    The Dying Animal is a short novel by Philip Roth that explores aging, desire, and mortality through the obsessive relationship of an aging cultural critic with a much younger woman.
  • 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: Que la bête meure
Triple: [Jean Yanne, actedIn, Que la bête meure]
Generated description
Que la bête meure is a 1969 French psychological revenge thriller film directed by Claude Chabrol, based on a novel by Cecil Day-Lewis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Que la bête meure
Target entity description: Que la bête meure is a 1969 French psychological revenge thriller film directed by Claude Chabrol, based on a novel by Cecil Day-Lewis.
  • A. Le Blaireau
    Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
  • B. Le Loup
    Le Loup is a ballet choreographed by Roland Petit, known for its dramatic narrative and expressive, modern theatrical style.
  • C. L’Âme tigrée
    L’Âme tigrée is a work by French philosopher and anthropologist Gilbert Durand that explores symbolic imagination and mythic structures in human consciousness.
  • D. L'odeur des fauves
    L'odeur des fauves is a film featuring French-American actress Josephine Chaplin, known for her work in European cinema.
  • E. The Dying Animal
    The Dying Animal is a short novel by Philip Roth that explores aging, desire, and mortality through the obsessive relationship of an aging cultural critic with a much younger woman.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a54ff488190a759b46963c0d842 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f713088cc48190b705336339527f46 completed May 3, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69f713bd94048190a61dbd955bd1c542 completed May 3, 2026, 9:22 a.m.
Created at: April 9, 2026, 9:26 p.m.