Triple

T3233084
Position Surface form Disambiguated ID Type / Status
Subject Yaël Braun-Pivet E67787 entity
Predicate name P16 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: [Yaël Braun-Pivet, name, Yaël Braun-Pivet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaël Braun-Pivet
Context triple: [Yaël Braun-Pivet, name, 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. Aline Chazal
    Aline Chazal was the mother of French Post-Impressionist painter Paul Gauguin and a key familial influence during his early life.
  • C. 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.
  • D. 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.
  • E. Laure Prouvost
    Laure Prouvost is a French-born, Turner Prize–winning contemporary artist known for her immersive, narrative-driven installations and films that play with language, translation, and perception.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedb718c8190aae12f763033713a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36093ae9081909f6e63b1efcb9fbb completed March 13, 2026, 12:55 a.m.
Created at: March 8, 2026, 3:08 p.m.