Triple

T22474389
Position Surface form Disambiguated ID Type / Status
Subject Alain Chabat E555589 entity
Predicate name P16 FINISHED
Object Alain Chabat 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: Alain Chabat | Statement: [Alain Chabat, name, Alain Chabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alain Chabat
Context triple: [Alain Chabat, name, Alain Chabat]
  • A. Alain Chabat chosen
    Alain Chabat is a French actor, comedian, director, and screenwriter known for his influential work in French comedy and films such as "Asterix & Obelix: Mission Cleopatra."
  • B. Jean-Pierre Bacri
    Jean-Pierre Bacri was a French actor and screenwriter renowned for his sharp, melancholic humor and frequent collaborations with Agnès Jaoui in critically acclaimed films and plays.
  • C. Michel Subor
    Michel Subor was a French actor known for his work in New Wave cinema, including collaborations with directors like Jean-Luc Godard and François Truffaut.
  • D. 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.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2d5388190a59d11b3403d998b completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.