Triple

T21036980
Position Surface form Disambiguated ID Type / Status
Subject Tim Thomerson E518215 entity
Predicate notableWork P4 FINISHED
Object Near Dark 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: Near Dark | Statement: [Tim Thomerson, notableWork, Near Dark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Near Dark
Context triple: [Tim Thomerson, notableWork, Near Dark]
  • A. Near Dark chosen
    Near Dark is a 1987 neo-Western horror film that blends vampire mythology with gritty Americana and is widely regarded as an influential cult classic.
  • B. After the Dark
    After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
  • C. Just Before Dark
    Just Before Dark is a collection of essays by American writer Jim Harrison that blends memoir, nature writing, food, travel, and literary reflection.
  • D. Darkest Before Dawn
    Darkest Before Dawn is a short film, likely a dramatic or suspenseful work, whose title evokes themes of struggle and hope before a turning point.
  • E. And Soon the Darkness
    And Soon the Darkness is a 1970 British suspense thriller film about two young women cycling through rural France who encounter mounting danger and mystery.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcecf2508190a7647abb3c59debb completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:02 p.m.