Triple

T3697183
Position Surface form Disambiguated ID Type / Status
Subject Renesmee Cullen E78486 entity
Predicate mother P120 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: [Renesmee Cullen, mother, Bella Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella Swan
Context triple: [Renesmee Cullen, mother, 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc5115ad8819085ffa938de3943f4 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf1b16081909b18af630d0b4817 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.