Triple

T13313160
Position Surface form Disambiguated ID Type / Status
Subject Coup de torchon E317122 entity
Predicate castMember P1668 FINISHED
Object Philippe Noiret E127375 NE FINISHED

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 Noiret | Statement: [Coup de torchon, castMember, Philippe Noiret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Noiret
Context triple: [Coup de torchon, castMember, Philippe Noiret]
  • A. Philippe Noiret chosen
    Philippe Noiret was a renowned French film and stage actor celebrated for his versatile performances in classics such as "Cinema Paradiso" and "Il Postino."
  • B. Michel Serrault
    Michel Serrault was a celebrated French actor known for his versatile performances in film, theater, and television, particularly his iconic role in "La Cage aux Folles."
  • C. Joseph Noiret
    Joseph Noiret was a Belgian poet, painter, and art critic best known as a founding figure of the postwar avant-garde COBRA movement.
  • D. Auguste Adjani
    Auguste Adjani was the father of acclaimed French actress Isabelle Adjani.
  • E. Raymond Huppert
    Raymond Huppert was the father of acclaimed French actress Isabelle Huppert.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266cfb3c8190ac9ccb7696d02922 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:29 p.m.