Triple

T14711238
Position Surface form Disambiguated ID Type / Status
Subject Bella Swan E345551 entity
Predicate appearsIn P795 FINISHED
Object Midnight Sun E345537 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: Midnight Sun | Statement: [Bella Swan, appearsIn, Midnight Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midnight Sun
Context triple: [Bella Swan, appearsIn, Midnight Sun]
  • A. Midnight Sun
    "Midnight Sun" is a jazz standard composed by Lionel Hampton that became one of his most celebrated and enduring pieces.
  • B. Midnight Sun
    Midnight Sun is a natural phenomenon occurring in polar regions where the sun remains visible at local midnight during the summer months.
  • C. Midnight Sun chosen
    Midnight Sun is a companion novel to Stephenie Meyer’s Twilight, retelling the original story from Edward Cullen’s perspective.
  • D. Midnight Sun
    Midnight Sun is a horror novel by British author Ramsey Campbell that blends psychological terror with supernatural elements in a bleak, atmospheric narrative.
  • E. The Midnight Sun
    "The Midnight Sun" is a 1926 American silent drama film starring Lotus Thompson, known for its melodramatic storyline set against an exotic European backdrop.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.