Triple

T9552892
Position Surface form Disambiguated ID Type / Status
Subject Robert Benton E230465 entity
Predicate directed P7373 FINISHED
Object Twilight E807051 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: Twilight | Statement: [Robert Benton, directed, Twilight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twilight
Context triple: [Robert Benton, directed, Twilight]
  • A. Twilight
    "Twilight" is a popular young adult vampire romance novel by Stephenie Meyer that follows the relationship between teenager Bella Swan and vampire Edward Cullen.
  • B. Twilight
    "Twilight" is a classic science fiction short story by John W. Campbell Jr. that explores themes of technological decay and the distant future of humanity.
  • C. Twilight chosen
    "Twilight" is a 1998 neo-noir mystery film directed by Robert Benton and starring Paul Newman, Susan Sarandon, and Gene Hackman.
  • D. Twilight Time
    "Twilight Time" is a classic 1958 pop ballad by The Platters, renowned for its smooth harmonies and romantic, atmospheric style.
  • E. The Twilight Saga film series
    The Twilight Saga film series is a collection of romantic fantasy movies based on Stephenie Meyer’s novels, chronicling the supernatural love story between human Bella Swan and vampire Edward Cullen.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991f87e48190b5a5f4b3dfe7c1dd completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1613b16dc8190b00a45596ccd7fbc completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 8:02 p.m.