Triple

T21812183
Position Surface form Disambiguated ID Type / Status
Subject Jean-Pierre Cassel E538501 entity
Predicate workedWith P398 FINISHED
Object Philippe de Broca NE NERFINISHED

How this triple was built (2 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: Philippe de Broca | Statement: [Jean-Pierre Cassel, workedWith, Philippe de Broca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe de Broca
Context triple: [Jean-Pierre Cassel, workedWith, Philippe de Broca]
  • A. Philippe de Broca chosen
    Philippe de Broca was a French film director best known for his witty, adventurous comedies and collaborations with stars like Jean-Paul Belmondo during the 1960s and 1970s.
  • B. André Broca
    André Broca was a 19th-century French physician and anatomist known for his contributions to the study of the nervous system and pathology.
  • C. Paul Broca
    Paul Broca was a 19th-century French physician, anatomist, and anthropologist best known for discovering the brain region responsible for speech production, now called Broca's area.
  • D. José Broca
    José Broca was a 19th-century Spanish classical guitarist and composer known for his refined salon-style guitar works.
  • E. Xavier Bichat
    Xavier Bichat was a pioneering French anatomist and physiologist whose work on tissue-based anatomy helped lay the foundations of modern histology and pathological anatomy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.