Triple

T2462242
Position Surface form Disambiguated ID Type / Status
Subject Kathryn Bigelow E54556 entity
Predicate directed P7373 FINISHED
Object Near Dark E268313 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: Near Dark | Statement: [Kathryn Bigelow, directed, Near Dark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Near Dark
Context triple: [Kathryn Bigelow, directed, 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. In the Dark
    "In the Dark" is a 1987 studio album by the Grateful Dead that became their biggest commercial success, featuring the hit single "Touch of Grey."
  • C. Love in the Dark
    "Love in the Dark" is a soulful piano ballad by Adele, featured on her 2015 album "25," known for its emotional vocals and themes of heartbreak and letting go.
  • D. Seeing in the Dark
    "Seeing in the Dark" is a popular science book by Timothy Ferris that explores the history, culture, and personal experience of amateur astronomy and stargazing.
  • E. The Night
    The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd11f093c8190877db3026d430bd5 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179665d081909f9a761fa50c44e7 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.