Triple

T8012198
Position Surface form Disambiguated ID Type / Status
Subject Troy Perkins E186520 entity
Predicate name P16 FINISHED
Object Troy Perkins E186520 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: Troy Perkins | Statement: [Troy Perkins, name, Troy Perkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troy Perkins
Context triple: [Troy Perkins, name, Troy Perkins]
  • A. Troy Perkins chosen
    Troy Perkins is an American former professional soccer goalkeeper best known for his standout performances in Major League Soccer, including earning the league’s Goalkeeper of the Year honor.
  • B. Troy Dannen
    Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
  • C. Troy Blackburn
    Troy Blackburn is an American sports executive best known as a longtime senior leader in the Cincinnati Bengals organization and the son-in-law of team owner Mike Brown.
  • D. Reggie Perrin
    Reggie Perrin is a British television sitcom, adapted from the classic "The Fall and Rise of Reginald Perrin," about a middle-aged executive undergoing a comic midlife crisis.
  • E. Trevor Thornton
    Trevor Thornton is an individual associated with Asia, likely as a member or participant in an Asian organization, group, or context.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d73bf048190ad8066a7e95c34b0 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56acfcf88190a0e694f60f2907d2 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.