Triple

T5684686
Position Surface form Disambiguated ID Type / Status
Subject Ronde Barber E125281 entity
Predicate relative P37 FINISHED
Object Tiki Barber E540674 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: Tiki Barber | Statement: [Ronde Barber, relative, Tiki Barber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiki Barber
Context triple: [Ronde Barber, relative, Tiki Barber]
  • A. Tiki Barber chosen
    Tiki Barber is a former NFL running back best known for his prolific career with the New York Giants and subsequent work as a television broadcaster.
  • B. Thurman Thomas
    Thurman Thomas is a Hall of Fame NFL running back best known for leading the Buffalo Bills’ offense during their early 1990s Super Bowl runs.
  • C. Ed Reed
    Ed Reed is a Hall of Fame NFL safety renowned for his ball-hawking ability and game-changing plays, primarily during his career with the Baltimore Ravens.
  • D. Emmitt Thomas
    Emmitt Thomas is a Hall of Fame American football cornerback and coach best known for his standout career with the Kansas City Chiefs.
  • E. Ronde Barber
    Ronde Barber is a former NFL cornerback renowned for his long, standout career with the Tampa Bay Buccaneers, where he became one of the league’s most productive and durable defensive backs.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023b8efc4819085675d0d3dfb2a54 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097def5dc819095b881d687d5447d completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:44 p.m.