Triple

T20089665
Position Surface form Disambiguated ID Type / Status
Subject The Heat E496233 entity
Predicate hasPart P35 FINISHED
Object The Heat NE NERFINISHED

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: The Heat | Statement: [The Heat, hasPart, The Heat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Heat
Context triple: [The Heat, hasPart, The Heat]
  • A. The Heat chosen
    The Heat is Toni Braxton's third studio album, noted for its blend of R&B and pop and for spawning the hit single "He Wasn’t Man Enough."
  • B. The Heat
    The Heat is a 2013 buddy-cop comedy film starring Sandra Bullock and Melissa McCarthy as mismatched law enforcement partners.
  • C. Miami Heat
    The Miami Heat are a professional NBA basketball team based in Miami, Florida, known for multiple championships and star players such as Dwyane Wade and LeBron James.
  • D. 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.
  • E. New York Celtics
    The New York Celtics were a professional basketball team that competed in early American leagues and featured Hall of Fame guard Bobby McDermott.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655d65a88190a510132f36341b6c completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:19 p.m.