Triple

T9219677
Position Surface form Disambiguated ID Type / Status
Subject Gaël Perdriau E221329 entity
Predicate name P16 FINISHED
Object Gaël Perdriau E221329 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: Gaël Perdriau | Statement: [Gaël Perdriau, name, Gaël Perdriau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaël Perdriau
Context triple: [Gaël Perdriau, name, Gaël Perdriau]
  • A. Gaël Perdriau chosen
    Gaël Perdriau is a French politician known for serving as the long-time mayor of the city of Saint-Étienne.
  • B. Xavier Bertrand
    Xavier Bertrand is a French center-right politician who has served in various ministerial roles and as president of the Hauts-de-France regional council.
  • C. Arnaud Péricard
    Arnaud Péricard is a French politician and lawyer known for serving as the mayor of the affluent Parisian suburb of Saint-Germain-en-Laye.
  • D. Didier Hoarau
    Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
  • E. Fabien Pelous
    Fabien Pelous is a former French rugby union lock who captained the national team and became one of its most-capped players, achieving major success with both France and Stade Toulousain.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda74808081908d4bf890759e7120 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662c28648190979cf786fc35ab75 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.