Triple

T3332308
Position Surface form Disambiguated ID Type / Status
Subject The Twilight Saga: Eclipse E70059 entity
Predicate character P662 FINISHED
Object Bella Swan E69017 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: Bella Swan | Statement: [The Twilight Saga: Eclipse, character, Bella Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella Swan
Context triple: [The Twilight Saga: Eclipse, character, Bella Swan]
  • A. Bella Swan chosen
    Bella Swan is the human-turned-vampire protagonist of Stephenie Meyer’s Twilight Saga, known for her intense romance with Edward Cullen and central role in the series’ supernatural conflicts.
  • B. Esme Cullen
    Esme Cullen is the compassionate matriarch of the Cullen vampire family in Stephenie Meyer’s Twilight Saga.
  • C. Alice Cullen
    Alice Cullen is a clairvoyant, fashion-loving vampire and member of the Cullen family in the Twilight series, known for her close bond with Bella Swan.
  • D. Bella Greene
    Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
  • E. Rosalie Hale
    Rosalie Hale is a beautiful, strong-willed vampire and member of the Cullen family in the Twilight Saga, known for her complex relationship with Bella and her tragic human past.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb19358e48190a503af01b92273a4 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4881cd6f081908981db17758146f7 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:12 p.m.