Triple

T506182
Position Surface form Disambiguated ID Type / Status
Subject Joe Gibbs E10506 entity
Predicate name P16 FINISHED
Object Joe Gibbs E10506 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: Joe Gibbs | Statement: [Joe Gibbs, name, Joe Gibbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Gibbs
Context triple: [Joe Gibbs, name, Joe Gibbs]
  • A. Joe Gibbs chosen
    Joe Gibbs is a Hall of Fame NFL coach best known for leading Washington to three Super Bowl titles during the 1980s and early 1990s.
  • B. Jimmy Johnson
    Jimmy Johnson is a Hall of Fame NFL head coach best known for leading the Dallas Cowboys to back-to-back Super Bowl championships in the early 1990s.
  • C. Dan Snyder
    Dan Snyder is an American businessman best known for his controversial tenure as the longtime owner of Washington’s NFL franchise, marked by on-field struggles and numerous organizational scandals.
  • D. Tom Tucker
    Tom Tucker is a fictional, mustachioed news anchor on the animated television series "Family Guy," known for his eccentric on-air persona and deadpan delivery.
  • E. George Allen
    George Allen was a Hall of Fame NFL head coach best known for transforming the Washington franchise into a perennial contender in the 1970s with his defense-first philosophy and veteran-heavy rosters.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14c83f08190b1028f4929866db4 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48a7d47cc8190be1741f95f967f25 completed March 1, 2026, 6:50 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.