Triple

T11931312
Position Surface form Disambiguated ID Type / Status
Subject Catherine Best E283919 entity
Predicate hasVariantSpellingOfGivenName P457 FINISHED
Object Katharine E897867 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: Katharine | Statement: [Catherine Best, hasVariantSpellingOfGivenName, Katharine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katharine
Context triple: [Catherine Best, hasVariantSpellingOfGivenName, Katharine]
  • A. Katherine
    Katherine is a regional town in Australia's Northern Territory, known as a key service and transport hub near Nitmiluk (Katherine Gorge) National Park.
  • B. Katherine
    Katherine is one of the witty noblewomen in William Shakespeare’s comedy "Love’s Labour’s Lost," known for her sharp dialogue and role in the play’s romantic entanglements.
  • C. Katherine
    Katherine is the daughter of Evelyn Mulwray in the 1974 film noir "Chinatown," whose parentage is central to the movie's mystery and emotional impact.
  • D. Katherine
    Katherine is the central protagonist of the story "The Well," around whom the narrative’s main events and conflicts revolve.
  • E. Katherine chosen
    Katherine is a feminine given name of Greek origin, commonly associated with meanings related to purity.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90303a9a88190a4044e6310ba9b4b completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a729de88190960be2d16487a620 completed May 1, 2026, 11:11 a.m.
Created at: April 8, 2026, 9:45 p.m.