Triple

T13975556
Position Surface form Disambiguated ID Type / Status
Subject Miss Pettigrew Lives for a Day E336178 entity
Predicate basedOnAuthor P2806 FINISHED
Object Winifred Watson E581336 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: Winifred Watson | Statement: [Miss Pettigrew Lives for a Day, basedOnAuthor, Winifred Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winifred Watson
Context triple: [Miss Pettigrew Lives for a Day, basedOnAuthor, Winifred Watson]
  • A. Winifred Watson chosen
    Winifred Watson was a British author best known for her 1938 novel "Miss Pettigrew Lives for a Day," which was later adapted for stage and screen.
  • B. Margaret Watson
    Margaret Watson is a fictional character portrayed by American actress and consumer advocate Betty Furness.
  • C. Margaret Eva Watson
    Margaret Eva Watson was the wife of Herbert Hoover Jr., an engineer and businessman and the elder son of U.S. President Herbert Hoover.
  • D. Helen Dawes
    Helen Dawes is a key supporting character in the period drama film "Albert Nobbs," involved in the emotional and social complexities surrounding the title character's secret life.
  • E. Winifred Gillis
    Winifred Gillis is a fictional character from the American television sitcom "The Many Loves of Dobie Gillis."
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e90dc148190b38e339aac0de484 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ade75c8190b556c3b0ba692a96 completed May 9, 2026, 3:45 p.m.
Created at: April 9, 2026, 10:18 p.m.