Triple

T7986563
Position Surface form Disambiguated ID Type / Status
Subject Jack Antonoff E185695 entity
Predicate founded P104 FINISHED
Object Bleachers E702686 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: Bleachers | Statement: [Jack Antonoff, founded, Bleachers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bleachers
Context triple: [Jack Antonoff, founded, Bleachers]
  • A. Bleachers
    "Bleachers" is a short novel by John Grisham that follows a former high school football star who returns to his hometown to confront memories of his legendary but controversial coach.
  • B. Bleachers chosen
    Bleachers is an American indie pop music project led by musician and producer Jack Antonoff, known for its anthemic, 1980s-influenced sound.
  • C. The Yellows
    The Yellows is a common nickname for Maccabi Tel Aviv F.C., one of Israel’s most successful and popular football clubs, known for its yellow team colors.
  • D. The Yellows
    The Yellows is the nickname of Warrington Town F.C., an English football club based in Warrington, Cheshire.
  • E. The Yellows
    The Yellows is the nickname of English football club Oxford United, derived from the team’s traditional yellow home shirts.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4b87e48190a797f5363c8f0a04 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b96ed48190b752865ef3855e46 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:15 p.m.