Triple

T13310289
Position Surface form Disambiguated ID Type / Status
Subject Luc Jacquet E317042 entity
Predicate name P16 FINISHED
Object Luc Jacquet E317042 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: Luc Jacquet | Statement: [Luc Jacquet, name, Luc Jacquet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luc Jacquet
Context triple: [Luc Jacquet, name, Luc Jacquet]
  • A. Luc Jacquet chosen
    Luc Jacquet is a French filmmaker best known for his Oscar-winning nature documentary "March of the Penguins," which brought international attention to emperor penguins and environmental issues.
  • B. Jean-Louis Roux
    Jean-Louis Roux was a Canadian actor, stage director, and politician who co-founded Montreal’s Théâtre du Nouveau Monde and later served as a senator and briefly as Quebec’s lieutenant governor.
  • C. Didier Aldigier
    Didier Aldigier is a French local politician serving as the mayor of the commune of Pont-de-l’Isère in southeastern France.
  • D. Didier Hoarau
    Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
  • E. Juan Laporte
    Juan Laporte is a former Puerto Rican professional boxer and WBC featherweight champion known for his toughness and for facing many of the top fighters of his era.
  • 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_69d990f56abc8190951774a999e2ce11 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7546fbd1881909d2dda1edb63df2f completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:29 p.m.