Triple

T9997667
Position Surface form Disambiguated ID Type / Status
Subject Chernin Entertainment E197242 entity
Predicate notableWork P4 FINISHED
Object The Heat E310934 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: The Heat | Statement: [Chernin Entertainment, notableWork, The Heat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Heat
Context triple: [Chernin Entertainment, notableWork, The Heat]
  • A. The Heat chosen
    The Heat is a 2013 buddy-cop comedy film starring Sandra Bullock and Melissa McCarthy as mismatched law enforcement partners.
  • B. 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.
  • 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. 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.
  • E. Celtics
    The Celtics are a sports team representing St. Patrick High School, likely drawing their name and identity from the famous Boston Celtics basketball franchise.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258439fe88190b17da69f542ecf61 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:51 p.m.