Triple

T7280078
Position Surface form Disambiguated ID Type / Status
Subject Falkner E163123 entity
Predicate hasProtagonist P8706 FINISHED
Object Elizabeth Raby E658521 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: Elizabeth Raby | Statement: [Falkner, hasProtagonist, Elizabeth Raby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Raby
Context triple: [Falkner, hasProtagonist, Elizabeth Raby]
  • A. Elizabeth Raby chosen
    Elizabeth Raby is the protagonist of Mary Shelley’s novel "Falkner," around whom the story’s emotional and moral conflicts revolve.
  • B. Rebecca Rolfe
    Rebecca Rolfe is the English name taken by Pocahontas, the Native American woman known for her association with the Jamestown colony and her marriage to John Rolfe.
  • C. Elizabeth Rogers
    Elizabeth Rogers was an American actress known for her film and television roles in the 1960s and 1970s.
  • D. Emily Rutherfurd
    Emily Rutherfurd is an American actress best known for her comedic television roles, including a prominent part on the sitcom "The New Adventures of Old Christine."
  • E. Rebecca Randall
    Rebecca Randall is the spirited young heroine of the classic American children's story "Rebecca of Sunnybrook Farm," known for her optimism and resilience.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb339b1081909f648864e210f98e completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8342f2d40819083bbca74b47b7dff completed March 28, 2026, 8:03 p.m.
Created at: March 27, 2026, 2:59 p.m.