Triple

T3627941
Position Surface form Disambiguated ID Type / Status
Subject Susannah Wedgwood E76884 entity
Predicate child P120 FINISHED
Object Susan Darwin E31857 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: Susan Darwin | Statement: [Susannah Wedgwood, child, Susan Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Darwin
Context triple: [Susannah Wedgwood, child, Susan Darwin]
  • A. Susan Elizabeth Darwin chosen
    Susan Elizabeth Darwin was a daughter of the English physician Robert Darwin and a member of the prominent Darwin family of Shrewsbury.
  • B. Sarah Darwin
    Sarah Darwin is a British evolutionary biologist and science communicator, and a descendant of naturalist Charles Darwin.
  • C. 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.
  • D. Ida Darwin
    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.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2ddccc881909ae13dca3dd8a11d completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3852e60819092db2992e945a4c7 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:23 p.m.