Triple

T11761526
Position Surface form Disambiguated ID Type / Status
Subject Lloyd Henry Carr Jr. E279665 entity
Predicate notableStudent P4838 FINISHED
Object Brian Griese E264530 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: Brian Griese | Statement: [Lloyd Henry Carr Jr., notableStudent, Brian Griese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Griese
Context triple: [Lloyd Henry Carr Jr., notableStudent, Brian Griese]
  • A. Brian Griese chosen
    Brian Griese is a former American NFL quarterback who played primarily for the Denver Broncos and later became a football analyst and coach.
  • B. Matt Hasselbeck
    Matt Hasselbeck is a former NFL quarterback best known for leading the Seattle Seahawks to multiple playoff appearances and a Super Bowl berth in the 2000s.
  • C. Don Hasselbeck
    Don Hasselbeck is a former American football tight end who played in the NFL, notably for the New England Patriots, during the late 1970s and early 1980s.
  • D. Sarah Hasselbeck
    Sarah Hasselbeck is known as the wife of former NFL quarterback and sports analyst Matt Hasselbeck.
  • E. Tim Hasselbeck
    Tim Hasselbeck is a former NFL quarterback who later became a football analyst and commentator for ESPN.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a4be7c481908deab31f2ee20e0c completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.