Triple

T19593124
Position Surface form Disambiguated ID Type / Status
Subject Frequency E470285 entity
Predicate producer P490 FINISHED
Object Toby Emmerich NE NERFINISHED

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: Toby Emmerich | Statement: [Frequency, producer, Toby Emmerich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toby Emmerich
Context triple: [Frequency, producer, Toby Emmerich]
  • A. Toby Emmerich chosen
    Toby Emmerich is an American film executive and producer best known for his long tenure at New Line Cinema and as chairman of Warner Bros. Pictures Group.
  • B. Eric Marienthal
    Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
  • C. Jo Eisinger
    Jo Eisinger was an American screenwriter best known for his dark, psychologically complex film noir scripts, including classics like "Gilda" and "Night and the City."
  • D. Kirk Frohlich
    Kirk Frohlich is a musician best known as a member of the hard rock band L.A. Guns.
  • E. Paul Gertz
    Paul Gertz is a film and television producer best known for his work on the 1994 fantasy adventure film "The Pagemaster."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640782e2c8190b5baef07a2bdd015 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.