Triple

T737077
Position Surface form Disambiguated ID Type / Status
Subject Darwin family E14956 entity
Predicate hasNotableMember P304 FINISHED
Object Nora Barlow E64840 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: Nora Barlow | Statement: [Darwin family, hasNotableMember, Nora Barlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nora Barlow
Context triple: [Darwin family, hasNotableMember, Nora Barlow]
  • A. Nora Barlow chosen
    Nora Barlow was a British botanist and editor best known as Charles Darwin’s granddaughter and for publishing and annotating key editions of his works and correspondence.
  • B. Joan Barclay
    Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
  • C. June Rowlands
    June Rowlands was a Canadian politician who became the first woman to serve as mayor of Toronto, leading the city in the early 1990s.
  • D. Louise Whitfield
    Louise Whitfield was an American philanthropist best known as the wife of industrialist Andrew Carnegie and for her extensive charitable work.
  • E. Dorothy Yorke
    Dorothy Yorke was the wife of Thomas Dudley, a prominent early colonial leader and multiple-term governor of the Massachusetts Bay Colony.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5effc108190aea8fbe86641ba54 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb77a8908190bc3d5eb1b8ab3a03 completed March 8, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:37 p.m.