Triple

T21960872
Position Surface form Disambiguated ID Type / Status
Subject Judd Garrett E542322 entity
Predicate employer P7 FINISHED
Object Tampa Bay Buccaneers 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: Tampa Bay Buccaneers | Statement: [Judd Garrett, employer, Tampa Bay Buccaneers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampa Bay Buccaneers
Context triple: [Judd Garrett, employer, Tampa Bay Buccaneers]
  • A. Tampa Bay Buccaneers chosen
    The Tampa Bay Buccaneers are a professional American football team based in the Tampa Bay area that competes in the NFL and has won multiple Super Bowl championships.
  • B. Bucaneers
    The Bucaneers are the athletic teams representing Christian Brothers University in collegiate sports.
  • C. Bucs
    Bucs is a common nickname for the Major League Baseball team the Pittsburgh Pirates.
  • D. Jacksonville Jaguars
    The Jacksonville Jaguars are a professional American football team based in Jacksonville that competes in the National Football League (NFL) as a member of the AFC South division.
  • E. Miami Dolphins
    The Miami Dolphins are a professional American football team based in the Miami metropolitan area that competes in the NFL as a member of the AFC East division.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12455e99c819092ec59fe571f814e completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.