Triple

T7349780
Position Surface form Disambiguated ID Type / Status
Subject Mary Webb E169467 entity
Predicate name P16 FINISHED
Object Mary Webb E169467 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: Mary Webb | Statement: [Mary Webb, name, Mary Webb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Webb
Context triple: [Mary Webb, name, Mary Webb]
  • A. Mary Webb chosen
    Mary Webb was an English novelist and poet of the early 20th century, best known for her regional novels set in the Shropshire countryside, such as "Precious Bane" and "Gone to Earth."
  • B. Helen Torr
    Helen Torr was an American modernist painter associated with the Stieglitz Circle, known for her abstracted coastal landscapes and close artistic partnership with Arthur Dove.
  • C. Dorothy Darrell
    Dorothy Darrell was the wife of Hungarian-American film producer Joe Pasternak, known for her connection to his life and career in Hollywood.
  • D. Mary Jane Ward
    Mary Jane Ward was an American novelist best known for her semi-autobiographical work "The Snake Pit," which exposed the harsh realities of mid-20th-century psychiatric institutions.
  • E. Bessie Rayner Parkes
    Bessie Rayner Parkes was a 19th-century English feminist, writer, and activist who campaigned for women’s education and employment rights.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f107b88c81908bb5f8deb40ab70b completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b490cc8190bbbaf7825e293566 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:05 p.m.