Triple

T22730094
Position Surface form Disambiguated ID Type / Status
Subject Peter Beardsley E562110 entity
Predicate playedForClub P2168 FINISHED
Object Everton F.C. 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: Everton F.C. | Statement: [Peter Beardsley, playedForClub, Everton F.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everton F.C.
Context triple: [Peter Beardsley, playedForClub, Everton F.C.]
  • A. Everton F.C. chosen
    Everton F.C. is a historic professional football club from Liverpool that competes in the English football league system and is known as one of the country’s oldest and most established teams.
  • B. Everton
    Everton is a small rural village and civil parish in the Bassetlaw district of Nottinghamshire, England.
  • C. Everton
    Everton is a district of Liverpool, England, best known as the namesake and historic home area of Everton Football Club.
  • D. Everton
    Everton is a masculine given name of English origin, historically used in the Anglophone world.
  • E. Liverpool F.C.
    Liverpool F.C. is a globally renowned English football club based in Liverpool, known for its rich history, passionate fanbase, and major domestic and European successes.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792cb9cc8190a7c45032427bca1a completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.