Triple

T12247098
Position Surface form Disambiguated ID Type / Status
Subject Charles Darwin’s Autobiography E291877 entity
Predicate mentions P831 FINISHED
Object Emma Darwin E7447 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: Emma Darwin | Statement: [Charles Darwin’s Autobiography, mentions, Emma Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Darwin
Context triple: [Charles Darwin’s Autobiography, mentions, Emma Darwin]
  • A. Emma Darwin chosen
    Emma Darwin was an English woman best known as the devoted wife and first cousin of naturalist Charles Darwin, who supported his scientific work and managed their large family.
  • B. Marianne Darwin
    Marianne Darwin was a member of the Darwin family and one of the siblings in the generation that included 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. 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. Sarah Darwin
    Sarah Darwin is a British evolutionary biologist and science communicator, and a descendant of naturalist Charles Darwin.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb893a08190bbdfcb23082b8f34 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab9a9b08190903c1ce6d91af2b5 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.