Triple

T13313351
Position Surface form Disambiguated ID Type / Status
Subject Micmacs à tire-larigot E317129 entity
Predicate castMember P1668 FINISHED
Object André Dussollier 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: André Dussollier | Statement: [Micmacs à tire-larigot, castMember, André Dussollier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André Dussollier
Context triple: [Micmacs à tire-larigot, castMember, André Dussollier]
  • A. André Dussollier chosen
    André Dussollier is a renowned French actor known for his versatile performances in film, television, and theater since the 1970s.
  • B. Raymond Desèze
    Raymond Desèze was a prominent French lawyer best known for serving as one of King Louis XVI’s principal defenders during his revolutionary trial.
  • C. Paul Brousse
    Paul Brousse was a French socialist leader and physician who became a prominent figure in the late 19th-century workers’ movement and an influential theorist of reformist socialism.
  • D. Jacques Laruelle
    Jacques Laruelle is a character in Malcolm Lowry’s novel "Under the Volcano," serving as a friend and observer of the tragic consul Geoffrey Firmin.
  • E. Denis Ménochet
    Denis Ménochet is a French actor known for his intense screen presence in films such as Inglourious Basterds, Custody, and various international productions.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
Created at: April 9, 2026, 9:29 p.m.