Triple

T13447821
Position Surface form Disambiguated ID Type / Status
Subject Chicago Slaughter E320528 entity
Predicate owner P347 FINISHED
Object Jim McMahon E245174 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: Jim McMahon | Statement: [Chicago Slaughter, owner, Jim McMahon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim McMahon
Context triple: [Chicago Slaughter, owner, Jim McMahon]
  • A. Jim McMahon chosen
    Jim McMahon is a former NFL quarterback best known for leading the Chicago Bears to victory in Super Bowl XX and for his tough, flamboyant playing style.
  • B. Dick Butkus
    Dick Butkus was a ferocious Hall of Fame linebacker for the Chicago Bears, widely regarded as one of the greatest and most intimidating defensive players in NFL history.
  • C. Sid Luckman
    Sid Luckman was a Hall of Fame quarterback for the Chicago Bears, renowned for pioneering the modern T-formation passing game in the NFL during the 1940s.
  • D. Gerald Lambeau
    Gerald Lambeau is a renowned MIT mathematics professor in the film "Good Will Hunting" who discovers Will's genius and becomes his ambitious but conflicted mentor.
  • E. Fran Tarkenton
    Fran Tarkenton is a Hall of Fame NFL quarterback best known for his scrambling style and record-setting career primarily with the Minnesota Vikings.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8892a88190b4a32865b32c8883 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:41 p.m.