Triple

T2041293
Position Surface form Disambiguated ID Type / Status
Subject English First Division 1956–57 E44749 entity
Predicate topScorer P6605 FINISHED
Object Tommy Taylor E223798 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: Tommy Taylor | Statement: [English First Division 1956–57, topScorer, Tommy Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Taylor
Context triple: [English First Division 1956–57, topScorer, Tommy Taylor]
  • A. Tommy Taylor chosen
    Tommy Taylor was an English footballer and prolific centre-forward for Manchester United and the England national team in the 1950s.
  • B. Tommy Ross
    Tommy Ross is a popular high school student in Stephen King’s horror novel "Carrie," known for his pivotal role in inviting Carrie White to the prom.
  • C. Tommy Hawk
    Tommy Hawk is the anthropomorphic hawk mascot of the NHL’s Chicago Blackhawks, known for entertaining fans with energetic antics at games and community events.
  • D. Tommy Williams
    Tommy Williams is a young inmate in the film "The Shawshank Redemption" whose testimony becomes pivotal to the fate of fellow prisoner Andy Dufresne.
  • E. Tommy McClelland
    Tommy McClelland is a collegiate athletics administrator known for serving as the athletic director at Rice University and previously holding the same role at Louisiana Tech.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9545aa08190ac74e49e70c4c349 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffbbf948190a89932013b463f85 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.