Triple

T22604382
Position Surface form Disambiguated ID Type / Status
Subject La loi du marché E574916 entity
Predicate screenwriter P2831 FINISHED
Object Olivier Gorce 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: Olivier Gorce | Statement: [La loi du marché, screenwriter, Olivier Gorce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivier Gorce
Context triple: [La loi du marché, screenwriter, Olivier Gorce]
  • A. Olivier Gorce chosen
    Olivier Gorce is a French screenwriter known for his work on acclaimed films such as "Chocolat."
  • B. Jérôme Garcès
    Jérôme Garcès is a French rugby union referee who officiated at the highest international level, including multiple Rugby World Cups.
  • C. Laurent Chalumeau
    Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
  • D. Aurélien Drach
    Aurélien Drach is the son of French actress Marie-José Nat and is known primarily in relation to his mother's cinematic legacy.
  • E. Nicolas Dufourcq
    Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626fad6881909895cc8c0af62f0d completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:51 p.m.