Triple

T13127420
Position Surface form Disambiguated ID Type / Status
Subject Beauty and the Beast (1987 TV series) E311879 entity
Predicate creator P184 FINISHED
Object Ron Koslow E311879 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: Ron Koslow | Statement: [Beauty and the Beast (1987 TV series), creator, Ron Koslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Koslow
Context triple: [Beauty and the Beast (1987 TV series), creator, Ron Koslow]
  • A. Ron Koslow chosen
    Ron Koslow is an American television writer and producer best known for creating the fantasy drama series "Beauty and the Beast" (1987) and for his work on various genre and crime shows.
  • B. Bob Engelman
    Bob Engelman is a film producer best known for working on major Hollywood movies, including the hit comedy "The Mask."
  • C. Sam Koppelman
    Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
  • D. Sheldon Kirshner
    Sheldon Kirshner is a Canadian journalist and writer known for his work on Jewish affairs and Middle Eastern politics.
  • E. Cliff Eidelman
    Cliff Eidelman is an American composer best known for his orchestral film scores, including his acclaimed work on movies such as Star Trek VI: The Undiscovered Country and other major Hollywood productions.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819aac388190b59bf43cc6a49d0c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28bdd6881909d01e550e99267e1 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.