Triple

T2655242
Position Surface form Disambiguated ID Type / Status
Subject Helmet Catch E54592 entity
Predicate hasPlayer P29723 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, hasPlayer, David Tyree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Tyree
Context triple: [Helmet Catch, hasPlayer, 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. 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.
  • C. 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.
  • D. Darrell Green
    Darrell Green is a Hall of Fame NFL cornerback renowned for his exceptional speed and longevity during a 20-year career with Washington’s football franchise.
  • E. Andre Reed
    Andre Reed is a former NFL wide receiver best known for his prolific career and multiple Super Bowl appearances with the Buffalo Bills in the late 1980s and 1990s.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd933ec008190aef1442460c4cfbc completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf4d70388190b6f0e683c77bc262 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:53 p.m.