Triple

T3600112
Position Surface form Disambiguated ID Type / Status
Subject Doug Pederson E76234 entity
Predicate name P16 FINISHED
Object Doug Pederson E76234 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: Doug Pederson | Statement: [Doug Pederson, name, Doug Pederson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Pederson
Context triple: [Doug Pederson, name, Doug Pederson]
  • A. Doug Pederson chosen
    Doug Pederson is an American football coach best known for leading the Philadelphia Eagles to their first Super Bowl championship in franchise history.
  • B. Brant Coulter
    Brant Coulter is a musician best known for his past role as a member of the American alternative rock band Blue October.
  • C. Andy Reid
    Andy Reid is a highly successful American football head coach best known for leading the Philadelphia Eagles and Kansas City Chiefs to multiple conference titles and Super Bowl victories.
  • D. Mike Tomlin
    Mike Tomlin is a Super Bowl–winning head coach in the NFL, best known for his long, successful tenure leading the Pittsburgh Steelers.
  • E. Kyle Shanahan
    Kyle Shanahan is an NFL head coach and offensive strategist known for his innovative, zone-based schemes and successful tenures leading high-powered offenses, particularly with the San Francisco 49ers.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19fd57481908ce5c9daf168e213 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43309a9b48190bc2aa6f970d45612 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.