Triple

T681949
Position Surface form Disambiguated ID Type / Status
Subject Greg Gumbel E13201 entity
Predicate fullName P16 FINISHED
Object Greg Gumbel E13201 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: Greg Gumbel | Statement: [Greg Gumbel, fullName, Greg Gumbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Gumbel
Context triple: [Greg Gumbel, fullName, Greg Gumbel]
  • A. Greg Gumbel chosen
    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.
  • B. 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.
  • C. Jim Nantz
    Jim Nantz is a prominent American sportscaster best known for his long-running play-by-play coverage of major events such as the NFL, NCAA basketball, and The Masters on CBS.
  • D. Jack Buck
    Jack Buck was a renowned American sportscaster best known for his long tenure as the voice of the St. Louis Cardinals and his iconic calls in Major League Baseball.
  • E. Howard Cosell
    Howard Cosell was a famously outspoken and influential American sports broadcaster known for his distinctive voice, candid commentary, and major role in bringing personality-driven analysis to televised sports.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a06f9ee88190a2d757aacd8e3f5b completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666745d88190ad09c24724aeac99 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:36 p.m.