Triple

T12397641
Position Surface form Disambiguated ID Type / Status
Subject James Zhou E296158 entity
Predicate chairmanOf P2537 FINISHED
Object AJ Auxerre E60913 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: AJ Auxerre | Statement: [James Zhou, chairmanOf, AJ Auxerre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AJ Auxerre
Context triple: [James Zhou, chairmanOf, AJ Auxerre]
  • A. AJ Auxerre chosen
    AJ Auxerre is a French professional football club based in Auxerre, known for its strong youth academy and past success in Ligue 1 and European competitions.
  • B. Élan Chalon
    Élan Chalon is a professional French basketball club best known for competing in the country’s top leagues and European competitions.
  • C. Amiens SC
    Amiens SC is a French professional football club based in the city of Amiens, known for competing in the country’s football league system and representing the Picardy region.
  • D. Stade de Reims
    Stade de Reims is a historic French football club, best known for its dominance in the 1950s and 1960s and for twice reaching the European Cup final.
  • E. Les Lyonnais
    Les Lyonnais is a French film in which actress Corinne Marchand delivered one of her most recognized performances.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd448f08190af425a569d7ed158 completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efc0c7081909fe7d1818a081684 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.