Triple

T391878
Position Surface form Disambiguated ID Type / Status
Subject Miami Dolphins E8898 entity
Predicate notablePlayer P304 FINISHED
Object Bob Griese E52301 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: Bob Griese | Statement: [Miami Dolphins, notablePlayer, Bob Griese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Griese
Context triple: [Miami Dolphins, notablePlayer, Bob Griese]
  • A. Bob Griese chosen
    Bob Griese is a Hall of Fame former NFL quarterback for the Miami Dolphins who later became a prominent football television analyst.
  • B. Bart Starr
    Bart Starr was a Hall of Fame NFL quarterback and legendary leader of the Green Bay Packers who guided the team to multiple championships in the 1960s.
  • C. Joe Namath
    Joe Namath is a Hall of Fame American football quarterback best known for his guarantee and victory in Super Bowl III with the New York Jets, which helped legitimize the AFL.
  • 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. Dan Marino
    Dan Marino is a Hall of Fame former NFL quarterback renowned for his prolific passing career with the Miami Dolphins and for setting numerous league records.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec7492288190bf33c9c869a0710f completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f5ff0608190909be378b1871327 completed March 1, 2026, 12:21 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.