Triple

T1449037
Position Surface form Disambiguated ID Type / Status
Subject Caroline Sarah Darwin E31245 entity
Predicate sibling P363 FINISHED
Object Mary Darwin E10533 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: Mary Darwin | Statement: [Caroline Sarah Darwin, sibling, Mary Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Darwin
Context triple: [Caroline Sarah Darwin, sibling, Mary Darwin]
  • A. 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.
  • B. Sarah Darwin
    Sarah Darwin is a British evolutionary biologist and science communicator, and a descendant of naturalist Charles Darwin.
  • C. Mary Eleanor Darwin chosen
    Mary Eleanor Darwin was one of the daughters of naturalist Charles Darwin and his wife Emma, who died in early childhood.
  • 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. Marianne Darwin
    Marianne Darwin was a member of the Darwin family and one of the siblings in the generation that included 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55c408c8190917ed44d9070a2fb completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0bd0f5c8190b5bfd26995f00a0c completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 8 p.m.