Triple

T3106441
Position Surface form Disambiguated ID Type / Status
Subject Nora Barlow E64840 entity
Predicate mother P120 FINISHED
Object Ida Darwin E87544 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: Ida Darwin | Statement: [Nora Barlow, mother, Ida Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ida Darwin
Context triple: [Nora Barlow, mother, Ida Darwin]
  • A. Ida Darwin chosen
    Ida Darwin was a British mental health campaigner and philanthropist, known for her work in improving care for people with learning disabilities and mental illness in the late 19th and early 20th centuries.
  • B. Anne Darwin
    Anne Darwin is a British woman known for her involvement in the high-profile "canoe man" insurance fraud case alongside her husband, John Darwin.
  • C. Susannah Darwin
    Susannah Darwin was the mother of naturalist Charles Darwin and a member of the prominent Wedgwood–Darwin family in late 18th- and early 19th-century England.
  • D. Catherine Darwin
    Catherine Darwin was a member of the Darwin family and one of Charles Darwin’s sisters, living a largely private life in early 19th-century England.
  • E. Mary Eleanor Darwin
    Mary Eleanor Darwin was one of the daughters of naturalist Charles Darwin and his wife Emma, who died in early childhood.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20388b7788190b78b9dd2671214ad completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.