Triple

T344562
Position Surface form Disambiguated ID Type / Status
Subject Sir Matt Busby E6910 entity
Predicate nickname P55 FINISHED
Object Matt Busby E6910 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: Matt Busby | Statement: [Sir Matt Busby, nickname, Matt Busby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Busby
Context triple: [Sir Matt Busby, nickname, Matt Busby]
  • A. Sir Matt Busby chosen
    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.
  • B. Sir Alex Ferguson
    Sir Alex Ferguson is a legendary Scottish football manager best known for transforming Manchester United into one of the most successful clubs in history through his long, trophy-laden tenure.
  • C. Bobby Charlton
    Bobby Charlton was an iconic English footballer renowned for his long and successful career with Manchester United and for helping England win the 1966 FIFA World Cup.
  • D. Marc Seriff
    Marc Seriff is an American computer scientist and entrepreneur best known as a co-founder and early technical leader of the pioneering internet company AOL.
  • E. Lee Dixon
    Lee Dixon was an American actor and dancer best known for his work in mid-20th-century stage and film musicals.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb01261c81909280128b5ce75eff completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4ea324c8190acd07727ca0ac193 completed March 1, 2026, 5:55 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.