Triple

T1366497
Position Surface form Disambiguated ID Type / Status
Subject Paul Pierce E30013 entity
Predicate playedFor P2170 FINISHED
Object Brooklyn Nets E748 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: Brooklyn Nets | Statement: [Paul Pierce, playedFor, Brooklyn Nets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn Nets
Context triple: [Paul Pierce, playedFor, Brooklyn Nets]
  • A. Brooklyn Nets chosen
    The Brooklyn Nets are a professional basketball team in the NBA based in the borough of Brooklyn.
  • B. New York Knicks
    The New York Knicks are a professional basketball team based in New York City that competes in the NBA’s Eastern Conference and plays its home games at Madison Square Garden.
  • C. Westchester Knicks
    The Westchester Knicks are an American professional basketball team that serves as the NBA G League affiliate of the New York Knicks.
  • D. Syracuse Mets
    The Syracuse Mets are a Minor League Baseball team and Triple-A affiliate of the New York Mets based in Syracuse, New York.
  • E. Boston Celtics
    The Boston Celtics are a storied NBA franchise known for their record number of championships and iconic players like Bill Russell and Larry Bird.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d1d15481909d58b6fd8aa2e585 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae6515d5f881908f89fa1d6377596e completed March 9, 2026, 6:13 a.m.
Created at: March 1, 2026, 7:57 p.m.