Triple

T7499483
Position Surface form Disambiguated ID Type / Status
Subject Coach Carter E177221 entity
Predicate producer P490 FINISHED
Object Brian Robbins E555068 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: Brian Robbins | Statement: [Coach Carter, producer, Brian Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Robbins
Context triple: [Coach Carter, producer, Brian Robbins]
  • A. Brian Robbins chosen
    Brian Robbins is an American film and television producer, director, and media executive known for co-founding AwesomenessTV and serving as president and CEO of Paramount Pictures and Nickelodeon.
  • B. Stuart Blumberg
    Stuart Blumberg is an American screenwriter, director, and producer best known for his work on character-driven independent films, including the acclaimed drama "The Kids Are All Right."
  • C. Danny Rubin
    Danny Rubin is an American screenwriter best known for co-writing the acclaimed 1993 comedy film "Groundhog Day."
  • D. Stuart Ostrow
    Stuart Ostrow is an American theatrical producer and director best known for developing and producing influential Broadway musicals in the mid-20th century.
  • E. Jason Michael Berman
    Jason Michael Berman is a film producer known for his work on notable independent and studio projects, including the 2023 sports drama "Air."
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f598dfac8190a123daaac0784aee completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c900ad081908506a2097f7fd30b completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:44 p.m.