Triple

T10713172
Position Surface form Disambiguated ID Type / Status
Subject Jacqueline Bisset E252592 entity
Predicate givenName P17 FINISHED
Object Winifred E152452 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 | Statement: [Jacqueline Bisset, givenName, Winifred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winifred
Context triple: [Jacqueline Bisset, givenName, Winifred]
  • A. Winifred chosen
    Winifred is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
  • B. Gwendolyn
    Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
  • C. Winifred Griffen
    Winifred Griffen is a character in Margaret Atwood’s novel "The Blind Assassin," known as the socially ambitious and controlling sister-in-law of protagonist Iris Chase.
  • D. Gwendoline
    Gwendoline is a feminine given name most prominently associated with British actress Gwendoline Christie.
  • E. Ethelyn
    Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe54465081909640f6d7a2314fcb completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d99917df2c819099be2a9b9c4a2ce7 completed April 11, 2026, 12:43 a.m.
Created at: April 8, 2026, 9:13 p.m.