Triple

T22367749
Position Surface form Disambiguated ID Type / Status
Subject Norman Hunter E552952 entity
Predicate coachedBy P2169 FINISHED
Object Don Revie 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: Don Revie | Statement: [Norman Hunter, coachedBy, Don Revie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Revie
Context triple: [Norman Hunter, coachedBy, Don Revie]
  • A. Don Revie chosen
    Don Revie was an influential English football manager and former player best known for transforming Leeds United into one of Europe’s dominant clubs in the 1960s and 1970s.
  • B. Sir Matt Busby
    Sir Matt Busby was a legendary Scottish football manager best known for rebuilding Manchester United after the Munich air disaster and leading the club to multiple league titles and the 1968 European Cup.
  • C. Douglas Hickox
    Douglas Hickox was a British film and television director known for works such as "Theatre of Blood" and "Zulu Dawn."
  • D. John Hough
    John Hough is a British film and television director best known for his work in horror and genre cinema during the 1970s and 1980s.
  • E. Bill Shankly
    Bill Shankly was a legendary Scottish football manager who transformed Liverpool F.C. into a major force in English and European football during the 1960s and early 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_69f158017400819094ebf7f91c26a724 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.