Triple

T18225920
Position Surface form Disambiguated ID Type / Status
Subject Troy E436420 entity
Predicate notableBearer P458 FINISHED
Object Troy Aikman NE NERFINISHED

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 Aikman | Statement: [Troy, notableBearer, Troy Aikman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troy Aikman
Context triple: [Troy, notableBearer, Troy Aikman]
  • A. Troy Aikman chosen
    Troy Aikman is a Hall of Fame former NFL quarterback best known for leading the Dallas Cowboys to three Super Bowl titles in the 1990s.
  • B. Roger Staubach
    Roger Staubach is a Hall of Fame quarterback who led the Dallas Cowboys to multiple Super Bowl appearances in the 1970s and became one of the franchise’s most iconic players.
  • C. Tony Dorsett
    Tony Dorsett is a Hall of Fame American football running back best known for his stellar college career at the University of Pittsburgh and his NFL success with the Dallas Cowboys.
  • D. Phil Simms
    Phil Simms is a former NFL quarterback best known for leading the New York Giants to two Super Bowl titles and earning MVP honors in Super Bowl XXI.
  • E. Terry Bradshaw
    Terry Bradshaw is a Pro Football Hall of Fame quarterback best known for leading the Pittsburgh Steelers to four Super Bowl titles in the 1970s and later becoming a prominent television sports analyst.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aeb4cc81908959413c368a2243 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.