Triple

T2810972
Position Surface form Disambiguated ID Type / Status
Subject Sean McVay E54168 entity
Predicate familyName P18 FINISHED
Object McVay E54168 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: McVay | Statement: [Sean McVay, familyName, McVay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McVay
Context triple: [Sean McVay, familyName, McVay]
  • A. Jonathan Gannon
    Jonathan Gannon is an American football coach best known for his defensive background and for serving as an NFL head coach.
  • B. Sean McVay chosen
    Sean McVay is an American football coach best known as the innovative and youngest-ever head coach to win a Super Bowl with the Los Angeles Rams.
  • C. Coryell
    Coryell is the named defendant in the landmark 1823 U.S. case Corfield v. Coryell, which helped define the scope of the Privileges and Immunities Clause.
  • D. Anton Rodgers
    Anton Rodgers is an Irish professional footballer known for playing as a midfielder for various English and Irish clubs.
  • E. Herman Edwards
    Herman Edwards is a former NFL cornerback and head coach, best known as a defensive back for the Philadelphia Eagles and later as head coach of the New York Jets and Kansas City Chiefs.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde335b38819090c70d5e2ca14d79 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9a76388190a5dce756de2eb59f completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.