Triple

T3881752
Position Surface form Disambiguated ID Type / Status
Subject Roger Hunt E92837 entity
Predicate fullName P16 FINISHED
Object Roger Hunt E92837 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: Roger Hunt | Statement: [Roger Hunt, fullName, Roger Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Hunt
Context triple: [Roger Hunt, fullName, Roger Hunt]
  • A. Roger Hunt chosen
    Roger Hunt was an English footballer best known as a prolific striker for Liverpool and a member of England’s 1966 World Cup–winning squad.
  • B. Alan Mowbray
    Alan Mowbray was a British-born character actor known for his prolific work in Hollywood films and early television during the mid-20th century.
  • C. Jimmy Greaves
    Jimmy Greaves was a prolific English footballer and legendary goal scorer, best known for his remarkable finishing ability for clubs like Tottenham Hotspur and the England national team.
  • D. Harry Gregg
    Harry Gregg was a Northern Irish football goalkeeper, best known for his heroism in rescuing teammates and passengers during the 1958 Munich air disaster while playing for Manchester United.
  • E. Billy Bremner
    Billy Bremner was a legendary Scottish midfielder best known for captaining Leeds United during their most successful era in the late 1960s and 1970s.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8d5c1c8190906294177f3ad49e completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512594fa081909ba2afad11f6ea59 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.