Triple

T14101758
Position Surface form Disambiguated ID Type / Status
Subject Braun-Pivet E339397 entity
Predicate usedBy P260 FINISHED
Object Yaël Braun-Pivet E67787 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: Yaël Braun-Pivet | Statement: [Braun-Pivet, usedBy, Yaël Braun-Pivet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaël Braun-Pivet
Context triple: [Braun-Pivet, usedBy, Yaël Braun-Pivet]
  • A. Yaël Braun-Pivet chosen
    Yaël Braun-Pivet is a French politician who serves as President of the National Assembly and is a prominent member of the centrist Renaissance party.
  • B. Yvette Lebon
    Yvette Lebon was a French film actress known for her prolific work in 1930s and 1940s cinema and for being one of France’s oldest surviving screen stars.
  • C. Aline Chazal
    Aline Chazal was the mother of French Post-Impressionist painter Paul Gauguin and a key familial influence during his early life.
  • D. Irène Jacob
    Irène Jacob is a French-Swiss actress acclaimed for her nuanced performances in European art cinema, particularly in films by director Krzysztof Kieślowski.
  • E. Suzanne Déchevaux-Dumesnil
    Suzanne Déchevaux-Dumesnil was a French tennis player and longtime partner and later wife of writer Samuel Beckett, known for her crucial support of his life and work.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe387c02108190badf9b5051cd9c7a completed May 8, 2026, 7:24 p.m.
Created at: April 9, 2026, 10:22 p.m.