Triple

T8270801
Position Surface form Disambiguated ID Type / Status
Subject Johnny Weir E193421 entity
Predicate commentaryTeamMemberWith P31744 FINISHED
Object Terry Gannon E629225 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: Terry Gannon | Statement: [Johnny Weir, commentaryTeamMemberWith, Terry Gannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Gannon
Context triple: [Johnny Weir, commentaryTeamMemberWith, Terry Gannon]
  • A. Terry Gannon chosen
    Terry Gannon is an American sportscaster best known for his versatile play-by-play and hosting work across multiple sports on major television networks.
  • B. Terry O'Connor
    Terry O'Connor is a notable individual recognized for achievements significant enough to be distinctly associated with the surname O'Connor.
  • C. Terry Molloy
    Terry Molloy is a British actor best known for playing the villainous Davros in the long-running science fiction series Doctor Who.
  • D. Terry Martin
    Terry Martin is an American local government official who has served as the mayor of Moraine, Ohio.
  • E. Terry McAulay
    Terry McAulay is a former National Football League official who served as a referee in multiple Super Bowls and later became a rules analyst for television broadcasts.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cbd11ed22c819082bf036602eaa038 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd9510a74c8190a8f8c9c7e430b5ae completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:50 p.m.