Triple

T15905808
Position Surface form Disambiguated ID Type / Status
Subject The Darkest Hour E385708 entity
Predicate producer P490 FINISHED
Object Tom Jacobson E385708 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 Jacobson | Statement: [The Darkest Hour, producer, Tom Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Jacobson
Context triple: [The Darkest Hour, producer, Tom Jacobson]
  • A. Tom Jacobson chosen
    Tom Jacobson is a film producer best known for his work on major Hollywood genre movies, including the science fiction thriller "The Darkest Hour."
  • B. Tom Jacobson
    Tom Jacobson is a film producer best known for his work on popular Hollywood comedies such as "Uncle Buck."
  • C. Tom Jacobson
    Tom Jacobson is a film producer best known for his work on popular Hollywood movies including the 1986 teen comedy classic "Ferris Bueller's Day Off."
  • D. Eric Jacobson
    Eric Jacobson is an American puppeteer best known for performing several iconic Muppet and Sesame Street characters, including taking over roles originally performed by Frank Oz.
  • E. Larry Jacobson
    Larry Jacobson is a television producer best known for his role as an executive producer on the late-night talk program "The Jay Leno Show."
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565956588190ba4726a2879b677d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0535a808190983b4ff028826cbf completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.