Triple

T22365132
Position Surface form Disambiguated ID Type / Status
Subject WCC Player of the Year E552883 entity
Predicate firstWinner P11366 FINISHED
Object Phil Woolpert 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: Phil Woolpert | Statement: [WCC Player of the Year, firstWinner, Phil Woolpert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Woolpert
Context triple: [WCC Player of the Year, firstWinner, Phil Woolpert]
  • A. Phil Woolpert chosen
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • B. Keith Harwood
    Keith Harwood was a British recording engineer known for his work with major rock acts in the 1970s, including Led Zeppelin and the Rolling Stones.
  • C. Glyn Jessop
    Glyn Jessop is a former English cricketer who played at the first-class level.
  • D. Ian Gilroy
    Ian Gilroy is a musician best known as a former member of the New Zealand rock band The Swingers.
  • E. Glyn Pardoe
    Glyn Pardoe was an English professional footballer best known for his long career as a defender with Manchester City during the 1960s and 1970s.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157ffba088190ae455508eb6c2a9c completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.