Triple

T442452
Position Surface form Disambiguated ID Type / Status
Subject Doc E10140 entity
Predicate playedFor P2170 FINISHED
Object New York Knicks E476 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: New York Knicks | Statement: [Doc, playedFor, New York Knicks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York Knicks
Context triple: [Doc, playedFor, New York Knicks]
  • A. New York Knicks chosen
    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.
  • B. Brooklyn Nets
    The Brooklyn Nets are a professional basketball team in the NBA based in the borough of Brooklyn.
  • C. 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.
  • D. Syracuse Nationals
    The Syracuse Nationals were a professional basketball team in the NBA that later relocated and became the Philadelphia 76ers.
  • E. Milwaukee Bucks
    The Milwaukee Bucks are a professional NBA basketball team based in Milwaukee, Wisconsin, known for their multiple championships and star players such as Kareem Abdul-Jabbar and Giannis Antetokounmpo.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef42b4008190abed9d79926c7022 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a442a4674081909b7255b536014b40 completed March 1, 2026, 1:44 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.