Triple

T16265693
Position Surface form Disambiguated ID Type / Status
Subject Kirk Penney E394869 entity
Predicate playedFor P2170 FINISHED
Object ASVEL Basket E78797 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: ASVEL Basket | Statement: [Kirk Penney, playedFor, ASVEL Basket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASVEL Basket
Context triple: [Kirk Penney, playedFor, ASVEL Basket]
  • A. ASVEL Basket chosen
    ASVEL Basket is a prominent professional basketball club based in the Lyon metropolitan area of France, known for its success in the French league and participation in European competitions.
  • B. Mosta Basketball Club
    Mosta Basketball Club is a Maltese basketball team representing the town of Mosta in national basketball competitions.
  • C. Valencia Basket
    Valencia Basket is a professional basketball club based in Valencia, Spain, known for competing in Spain’s top league and European competitions.
  • D. JDA Dijon Basket
    JDA Dijon Basket is a professional French basketball club based in Dijon that competes in the country’s top-tier league and European competitions.
  • E. JL Bourg Basket
    JL Bourg Basket is a professional French basketball club competing in the country’s top leagues and European competitions.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c73944819085633e6d2a69bae9 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b877088190893a1f012e5d2463 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.