Triple

T18226388
Position Surface form Disambiguated ID Type / Status
Subject NFL Game of the Week E436432 entity
Predicate narrationBy P2181 FINISHED
Object Tom Brookshier 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: Tom Brookshier | Statement: [NFL Game of the Week, narrationBy, Tom Brookshier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Brookshier
Context triple: [NFL Game of the Week, narrationBy, Tom Brookshier]
  • A. Tom Brookshier chosen
    Tom Brookshier was an American football cornerback for the Philadelphia Eagles who became a prominent NFL broadcaster for CBS.
  • B. Travis Boyette
    Travis Boyette is a fictional convicted criminal and key figure in John Grisham’s legal thriller "The Confession," whose actions and secrets drive the novel’s exploration of wrongful conviction and the death penalty.
  • C. Mark Breland
    Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
  • D. Jonathan Owens
    Jonathan Owens is an American professional football safety in the NFL who gained additional public attention through his marriage to gymnast Simone Biles.
  • E. Allen George
    Allen George is a writer best known for his work on the film "Fade."
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aff8748190be5e732f9dbc8dff completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.