Triple

T5947662
Position Surface form Disambiguated ID Type / Status
Subject Carlisle United F.C. E132318 entity
Predicate notableFormerPlayer P304 FINISHED
Object Stan Bowles E485686 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: Stan Bowles | Statement: [Carlisle United F.C., notableFormerPlayer, Stan Bowles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Bowles
Context triple: [Carlisle United F.C., notableFormerPlayer, Stan Bowles]
  • A. Stan Bowles chosen
    Stan Bowles was a talented and charismatic English forward of the 1970s, best known for his flair, creativity, and cult-hero status in domestic football.
  • B. Mike Gascoyne
    Mike Gascoyne is a British Formula One engineer renowned for his technical leadership roles at several F1 teams, including Jordan, Renault, Toyota, and Spyker.
  • C. Gordon Bottomley
    Gordon Bottomley was an English poet and dramatist of the early 20th century, noted for his verse dramas and his role in the Georgian poetry movement.
  • D. Ian Boldsworth
    Ian Boldsworth is a British comedian, writer, and podcaster best known for his work in alternative comedy and shows like the paranormal podcast "The ParaPod."
  • E. Julian Morris
    Julian Morris is a British actor known for his roles in television series such as "Pretty Little Liars," "New Girl," and various film and TV dramas.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397c80708190a4778fdb353314b7 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1135303bc81909f78f6d8d39c7de6 completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 4:01 p.m.