Triple

T17616997
Position Surface form Disambiguated ID Type / Status
Subject Benoît Delhomme E429109 entity
Predicate name P16 FINISHED
Object Benoît Delhomme 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: Benoît Delhomme | Statement: [Benoît Delhomme, name, Benoît Delhomme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benoît Delhomme
Context triple: [Benoît Delhomme, name, Benoît Delhomme]
  • A. Benoît Delhomme chosen
    Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
  • B. Olivier Delbosc
    Olivier Delbosc is a French film producer known for his work on numerous acclaimed arthouse and independent films.
  • C. Stéphane Séjourné
    Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
  • D. Laurent Brosse
    Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
  • E. Laurent Duret
    Laurent Duret is a French evolutionary biologist and geneticist known for his work on genome evolution, mutation processes, and the forces shaping genomic landscapes in eukaryotes.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.