Triple

T8421553
Position Surface form Disambiguated ID Type / Status
Subject The Sinbad Show E198866 entity
Predicate executiveProducer P7225 FINISHED
Object Brad Grey E113512 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: Brad Grey | Statement: [The Sinbad Show, executiveProducer, Brad Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brad Grey
Context triple: [The Sinbad Show, executiveProducer, Brad Grey]
  • A. Brad Grey chosen
    Brad Grey was an American television and film producer who served as chairman and CEO of Paramount Pictures, overseeing the studio during a major period of commercial and critical success.
  • B. Scott Caan
    Scott Caan is an American actor known for his roles in films like the Ocean's trilogy and the TV series "Hawaii Five-0."
  • C. Mark Robarts
    Mark Robarts is an ambitious young clergyman in Anthony Trollope’s novel "Framley Parsonage," whose social aspirations and financial imprudence drive much of the story’s conflict.
  • D. Mike Ross
    Mike Ross is a brilliant but unlicensed lawyer with a photographic memory who becomes a central figure at a prestigious New York law firm in the TV series "Suits."
  • E. Michael Ross
    Michael Ross is a film editor known for his work on the documentary "The True Cost," which examines the global impact of the fashion industry.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84ca7b348190abab25e79b05407f completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035279f48190861b97167fa3882c completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:06 p.m.