Triple

T22051879
Position Surface form Disambiguated ID Type / Status
Subject Les Ripoux E544903 entity
Predicate castMember P1668 FINISHED
Object Jean-Claude Brialy 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: Jean-Claude Brialy | Statement: [Les Ripoux, castMember, Jean-Claude Brialy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Claude Brialy
Context triple: [Les Ripoux, castMember, Jean-Claude Brialy]
  • A. Jean-Claude Brialy chosen
    Jean-Claude Brialy was a prominent French actor and director closely associated with the French New Wave cinema movement.
  • B. Roger Vergé
    Roger Vergé was a renowned French chef celebrated as a pioneer of nouvelle cuisine and for his influential restaurant Moulin de Mougins on the French Riviera.
  • C. Georges Benoît
    Georges Benoît was a French cinematographer active in early 20th-century cinema, known for his work on both European and American films.
  • D. Jean-Claude Brisseau
    Jean-Claude Brisseau was a French film director known for his provocative, psychologically intense dramas that often explored sexuality, power, and transgression.
  • E. Michel Blanc
    Michel Blanc is a French actor, screenwriter, and director known for his work in both comedy and drama, including his role in the film "The Hundred-Foot Journey."
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285513fc8190b691e1f57085956f completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:26 p.m.