Triple

T23237267
Position Surface form Disambiguated ID Type / Status
Subject Winifred Watson E581336 entity
Predicate name P16 FINISHED
Object Winifred Watson NE NERFINISHED

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: [Winifred Watson, name, Winifred Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winifred Watson
Context triple: [Winifred Watson, name, 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. Winifred Bryson
    Winifred Bryson was an American stage and silent film actress active in the early 20th century.
  • C. Winifred Alexander
    Winifred Alexander is a character in Willa Cather’s early novel "Alexander's Bridge," involved in the personal and emotional conflicts surrounding the protagonist, Bartley Alexander.
  • D. Elizabeth Winifred Boger
    Elizabeth Winifred Boger, better known by her stage name Betsy Blair, was an American actress acclaimed for her work in mid-20th-century film and theater, including an Oscar-nominated role in "Marty."
  • E. Margaret Watson
    Margaret Watson is a fictional character portrayed by American actress and consumer advocate Betty Furness.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ea590c81908cd677d89f67d49f completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.