Triple

T8275348
Position Surface form Disambiguated ID Type / Status
Subject Matt Hasselbeck E193533 entity
Predicate familyName P18 FINISHED
Object Hasselbeck E193533 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: Hasselbeck | Statement: [Matt Hasselbeck, familyName, Hasselbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasselbeck
Context triple: [Matt Hasselbeck, familyName, Hasselbeck]
  • A. John Beck
    John Beck is a film producer best known for his work on the classic 1950 comedy-fantasy movie "Harvey."
  • B. Drew Bledsoe
    Drew Bledsoe is a former NFL quarterback best known for his long tenure with the New England Patriots and for paving the way for Tom Brady’s rise after Bledsoe’s injury.
  • C. Matt Hasselbeck chosen
    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.
  • D. Cod Beck
    Cod Beck is a small river in North Yorkshire, England, flowing through the North York Moors and the town of Thirsk before joining the River Swale.
  • E. Matt Simms
    Matt Simms is an American football quarterback known for his time in the NFL as a backup and practice-squad player with several teams, including the New York Jets.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb798bc29c8190927ef4b0662d6b98 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6ca48308190bd7a6c84d5954279 completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:51 p.m.