Triple

T15101958
Position Surface form Disambiguated ID Type / Status
Subject Twilight E360687 entity
Predicate partOf P40 FINISHED
Object Twilight series E69014 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 series | Statement: [Twilight, partOf, Twilight series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twilight series
Context triple: [Twilight, partOf, Twilight series]
  • A. Twilight
    "Twilight" is a 1998 neo-noir mystery film directed by Robert Benton and starring Paul Newman, Susan Sarandon, and Gene Hackman.
  • B. Twilight
    "Twilight" is a jazz recording by saxophonist Ed Calle that showcases his smooth tone, melodic improvisation, and Latin-influenced contemporary jazz style.
  • C. 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.
  • D. 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.
  • E. The Twilight Saga film series chosen
    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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00550007481909e02ee1d597a4d37 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 3:05 a.m.