Triple

T12391605
Position Surface form Disambiguated ID Type / Status
Subject Californication E296006 entity
Predicate executiveProducer P7225 FINISHED
Object Tom Kapinos E982758 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: Tom Kapinos | Statement: [Californication, executiveProducer, Tom Kapinos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Kapinos
Context triple: [Californication, executiveProducer, Tom Kapinos]
  • A. Tom Kapinos chosen
    Tom Kapinos is an American television writer and producer best known for creating the dark comedy-drama series "Californication."
  • B. Don Keefer
    Don Keefer is a driven, often abrasive but ultimately principled cable news producer in the television drama series "The Newsroom."
  • C. Hugh Hurd
    Hugh Hurd was an American actor and civil rights activist best known for his lead role in John Cassavetes’ groundbreaking independent film "Shadows."
  • D. Peter Diller
    Peter Diller is one of the children of pioneering American stand-up comedian and actress Phyllis Diller.
  • E. Ben Demaree
    Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efa1520819093cdf6ab3025ab20 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.