Triple

T8996521
Position Surface form Disambiguated ID Type / Status
Subject Anthony Darwin E214928 entity
Predicate mother P120 FINISHED
Object Anne Darwin E154160 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: Anne Darwin | Statement: [Anthony Darwin, mother, Anne Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Darwin
Context triple: [Anthony Darwin, mother, Anne Darwin]
  • A. Anne Darwin chosen
    Anne Darwin is a British woman known for her involvement in the high-profile "canoe man" insurance fraud case alongside her husband, John Darwin.
  • B. Sarah Darwin
    Sarah Darwin is a British evolutionary biologist and science communicator, and a descendant of naturalist Charles Darwin.
  • C. Anne Elizabeth Darwin
    Anne Elizabeth Darwin was the beloved eldest daughter of naturalist Charles Darwin, whose early death deeply affected him and influenced his views on religion and suffering.
  • D. Mary Eleanor Darwin
    Mary Eleanor Darwin was one of the daughters of naturalist Charles Darwin and his wife Emma, who died in early childhood.
  • E. 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.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.