Triple

T11924898
Position Surface form Disambiguated ID Type / Status
Subject Helmet Catch E283753 entity
Predicate performedBy P1363 FINISHED
Object David Tyree E62852 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: David Tyree | Statement: [Helmet Catch, performedBy, David Tyree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Tyree
Context triple: [Helmet Catch, performedBy, David Tyree]
  • A. David Tyree chosen
    David Tyree is a former NFL wide receiver best known for his famous "Helmet Catch" for the New York Giants in Super Bowl XLII.
  • B. Keyshawn Johnson
    Keyshawn Johnson is a former NFL wide receiver and Super Bowl champion who became a prominent sports media personality and radio host.
  • C. Ed Reed
    Ed Reed is a Hall of Fame NFL safety renowned for his ball-hawking ability and game-changing plays, primarily during his career with the Baltimore Ravens.
  • D. Marvin Harrison
    Marvin Harrison is a Pro Football Hall of Fame wide receiver renowned for his prolific career with the Indianapolis Colts, where he became one of the NFL’s most productive pass-catchers.
  • E. Fred Biletnikoff
    Fred Biletnikoff is a Hall of Fame American football wide receiver best known for his prolific career with the Oakland Raiders and his precise route running and reliable hands.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e2fc648190a446c1917db1c7d9 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ce47d488190af7f832e7719a4ce completed May 1, 2026, 12:30 p.m.
Created at: April 8, 2026, 9:45 p.m.