Triple

T16486178
Position Surface form Disambiguated ID Type / Status
Subject Rachel Black E400445 entity
Predicate appearsInUniverse P795 FINISHED
Object Twilight universe 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 universe | Statement: [Rachel Black, appearsInUniverse, Twilight universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twilight universe
Context triple: [Rachel Black, appearsInUniverse, Twilight universe]
  • 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 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.
  • 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
    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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e068fac8190a0971f548848fcfe completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0123257b908190819986393cb35748 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:13 a.m.