Triple

T3864925
Position Surface form Disambiguated ID Type / Status
Subject Bryant Gumbel E91828 entity
Predicate name P16 FINISHED
Object Bryant Gumbel E91828 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: Bryant Gumbel | Statement: [Bryant Gumbel, name, Bryant Gumbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryant Gumbel
Context triple: [Bryant Gumbel, name, Bryant Gumbel]
  • A. Bryant Gumbel chosen
    Bryant Gumbel is an American television journalist and sportscaster best known for co-hosting NBC's "Today" show and hosting HBO's "Real Sports with Bryant Gumbel."
  • B. Greg Gumbel
    Greg Gumbel is an American sportscaster best known for his long tenure with CBS Sports, where he has called NFL, NCAA basketball, and other major sporting events.
  • C. Al Michaels
    Al Michaels is a renowned American sportscaster best known for his decades of play-by-play commentary on NFL games and other major sporting events.
  • D. Chris Berman
    Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature catchphrases.
  • E. Cris Collinsworth
    Cris Collinsworth is a former NFL wide receiver who became a prominent American football television analyst and color commentator, best known for his work on major network broadcasts of NFL games.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3a253c81909df7dc0422ff7989 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5123e5e008190a89bb226a7de55ec completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.