Triple

T7667599
Position Surface form Disambiguated ID Type / Status
Subject Wilfried Nancy E173662 entity
Predicate name P16 FINISHED
Object Wilfried Nancy E173662 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: Wilfried Nancy | Statement: [Wilfried Nancy, name, Wilfried Nancy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilfried Nancy
Context triple: [Wilfried Nancy, name, Wilfried Nancy]
  • A. Wilfried Nancy chosen
    Wilfried Nancy is a French soccer manager known for his progressive, attack-minded coaching style in Major League Soccer.
  • B. Thierry Arbogast
    Thierry Arbogast is a French cinematographer renowned for his long-standing collaboration with director Luc Besson on visually distinctive films.
  • 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. Bernard Laporte
    Bernard Laporte is a French rugby union coach, former France national team manager, and sports executive who has held top leadership roles in both French and international rugby governance.
  • E. Alexandre Ribot
    Alexandre Ribot was a French statesman and multiple-time Prime Minister of France known for his moderate republican politics and influential role in the Third Republic.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c26ffc8190894fdef92f877f38 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b260000819088d744ea8dc53cd2 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.