Triple

T10719110
Position Surface form Disambiguated ID Type / Status
Subject Cam Gigandet E252769 entity
Predicate notableWork P4 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: [Cam Gigandet, notableWork, Twilight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twilight
Context triple: [Cam Gigandet, notableWork, 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
    "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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.