Triple

T14641629
Position Surface form Disambiguated ID Type / Status
Subject Book Two: Jacob E343736 entity
Predicate relatedWork P37 FINISHED
Object Twilight E130285 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: [Book Two: Jacob, relatedWork, Twilight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twilight
Context triple: [Book Two: Jacob, relatedWork, Twilight]
  • A. 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.
  • B. Twilight chosen
    "Twilight" is a popular young adult vampire romance novel by Stephenie Meyer that follows the relationship between teenager Bella Swan and vampire Edward Cullen.
  • C. Twilight
    "Twilight" is a 1998 neo-noir mystery film directed by Robert Benton and starring Paul Newman, Susan Sarandon, and Gene Hackman.
  • D. Twilight
    "Twilight" is a jazz recording by saxophonist Ed Calle that showcases his smooth tone, melodic improvisation, and Latin-influenced contemporary jazz style.
  • E. Twilight Time
    "Twilight Time" is a classic 1958 pop ballad by The Platters, renowned for its smooth harmonies and romantic, atmospheric style.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cdc54a881909d9ea43c26b9d5ef completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:26 a.m.