Triple

T18444993
Position Surface form Disambiguated ID Type / Status
Subject Errick McCollum E450630 entity
Predicate playedFor P2170 FINISHED
Object Pınar Karşıyaka NE NERFINISHED

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: Pınar Karşıyaka | Statement: [Errick McCollum, playedFor, Pınar Karşıyaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pınar Karşıyaka
Context triple: [Errick McCollum, playedFor, Pınar Karşıyaka]
  • A. Karşıyaka S.K. chosen
    Karşıyaka S.K. is a historic multi-sport club from the Karşıyaka district of İzmir, best known for its football team competing in the Turkish league system.
  • B. Kocaelispor
    Kocaelispor is a Turkish professional football club based in İzmit, known for its passionate fan base and regional rivalries in the Marmara region.
  • C. Kayserispor
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • D. Denizlispor
    Denizlispor is a professional Turkish football club based in the city of Denizli that competes in the national league system.
  • E. Konyaspor
    Konyaspor is a professional Turkish football club based in Konya that competes in the country’s top leagues and has a passionate regional fan base.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c15127881909d23b6dd45d7ccc9 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.