Triple

T19534916
Position Surface form Disambiguated ID Type / Status
Subject Decode E488743 entity
Predicate usedInFilm P795 FINISHED
Object Twilight NE NERFINISHED

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: [Decode, usedInFilm, Twilight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twilight
Context triple: [Decode, usedInFilm, 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 an American black metal band known for its rotating lineup of prominent underground metal musicians and its bleak, experimental sound.
  • 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 chosen
    "Twilight" is a 1998 neo-noir mystery film directed by Robert Benton and starring Paul Newman, Susan Sarandon, and Gene Hackman.
  • E. Twilight
    "Twilight" is a jazz recording by saxophonist Ed Calle that showcases his smooth tone, melodic improvisation, and Latin-influenced contemporary jazz style.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386ddc208190962195b8aa568bed completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.