Triple

T3955823
Position Surface form Disambiguated ID Type / Status
Subject A Gifted Man E84974 entity
Predicate executiveProducer P7225 FINISHED
Object Jim Kouf E136937 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: Jim Kouf | Statement: [A Gifted Man, executiveProducer, Jim Kouf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Kouf
Context triple: [A Gifted Man, executiveProducer, Jim Kouf]
  • A. Jim Kouf chosen
    Jim Kouf is an American screenwriter, producer, and director known for his work on films such as "Stakeout," "Rush Hour," and the TV series "Grimm."
  • B. Joel Surnow
    Joel Surnow is an American television writer and producer best known as the co-creator of the real-time action-thriller series "24."
  • C. Brannon Braga
    Brannon Braga is an American television producer, director, and writer best known for his work on multiple Star Trek series and other science and science-fiction programs.
  • D. Jason Katims
    Jason Katims is an American television writer, producer, and showrunner best known for creating character-driven dramas such as "Parenthood" and "Friday Night Lights."
  • E. Carlton Cuse
    Carlton Cuse is an American television writer and producer best known for co-creating and showrunning series such as Lost, Bates Motel, and other high-profile genre dramas.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef93f3ad48190b96b98b4aecd6030 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533aea08c8190b83d83e3ba89848c completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.