Triple

T3730137
Position Surface form Disambiguated ID Type / Status
Subject Arsène Wenger E79041 entity
Predicate fullName P16 FINISHED
Object Arsène Charles Ernest Wenger E79041 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: Arsène Charles Ernest Wenger | Statement: [Arsène Wenger, fullName, Arsène Charles Ernest Wenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsène Charles Ernest Wenger
Context triple: [Arsène Wenger, fullName, Arsène Charles Ernest Wenger]
  • A. Arsène Wenger chosen
    Arsène Wenger is a French football manager best known for revolutionizing English football through his long, trophy-laden tenure in charge of Arsenal.
  • B. Michel Platini
    Michel Platini is a legendary French footballer and former UEFA president, widely regarded as one of the greatest midfielders in the history of the sport.
  • C. Laurent Platini
    Laurent Platini is the son of legendary French footballer and former UEFA president Michel Platini.
  • D. Aimé Jacquet
    Aimé Jacquet is a French football manager best known for coaching the France national team to victory at the 1998 FIFA World Cup.
  • E. Laurent Blanc
    Laurent Blanc is a former French international footballer and World Cup winner who went on to have a successful managerial career with clubs and the French national team.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb1bb5408190990ea4dfbdab5c68 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f4e8008190ae7f55ecb290d592 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:34 p.m.