Triple

T10599238
Position Surface form Disambiguated ID Type / Status
Subject Ryan Day E275698 entity
Predicate name P16 FINISHED
Object Ryan Day E275698 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: Ryan Day | Statement: [Ryan Day, name, Ryan Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Day
Context triple: [Ryan Day, name, Ryan Day]
  • A. Ryan Day chosen
    Ryan Day is an American football coach best known as the head coach of the Ohio State Buckeyes, where he has led consistently elite, nationally contending teams.
  • B. Luke Fickell
    Luke Fickell is an American college football coach best known for his successful tenure leading the Cincinnati Bearcats before taking over as head coach of the Wisconsin Badgers.
  • C. Dan Lanning
    Dan Lanning is an American college football coach best known as the head coach of the University of Oregon Ducks and former defensive coordinator for the national champion Georgia Bulldogs.
  • D. Jim Tressel
    Jim Tressel is an American football coach best known for leading the Ohio State Buckeyes to a national championship and multiple Big Ten titles in the 2000s.
  • E. Urban Meyer
    Urban Meyer is a highly successful American college football coach best known for winning national championships at the University of Florida and Ohio State University.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded45a3c81908cca736bf360e2f2 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e9c1a7c8190a91ad479518e411f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:30 p.m.