Triple

T22231673
Position Surface form Disambiguated ID Type / Status
Subject Fouts E549480 entity
Predicate notableBearer P458 FINISHED
Object Dan Fouts NE NERFINISHED

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: Dan Fouts | Statement: [Fouts, notableBearer, Dan Fouts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Fouts
Context triple: [Fouts, notableBearer, Dan Fouts]
  • A. Dan Fouts chosen
    Dan Fouts is a Hall of Fame NFL quarterback best known for leading the high-powered "Air Coryell" offense of the San Diego Chargers in the late 1970s and early 1980s.
  • B. 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.
  • C. Fran Tarkenton
    Fran Tarkenton is a Hall of Fame NFL quarterback best known for his scrambling style and record-setting career primarily with the Minnesota Vikings.
  • D. Joe Kapp
    Joe Kapp was a tough, hard-nosed former NFL and CFL quarterback who became a memorable college coach and is best known for leading the Minnesota Vikings to Super Bowl IV and for his fiery, physical style of play.
  • E. Terry Bradshaw
    Terry Bradshaw is a Pro Football Hall of Fame quarterback best known for leading the Pittsburgh Steelers to four Super Bowl titles in the 1970s and later becoming a prominent television sports analyst.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf3de648190986a734f19643a8c completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.