Triple

T1474259
Position Surface form Disambiguated ID Type / Status
Subject Sarah Darwin E30802 entity
Predicate name P16 FINISHED
Object Sarah Darwin E30802 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: Sarah Darwin | Statement: [Sarah Darwin, name, Sarah Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Darwin
Context triple: [Sarah Darwin, name, Sarah Darwin]
  • A. Sarah Darwin chosen
    Sarah Darwin is a British evolutionary biologist and science communicator, and a descendant of naturalist Charles Darwin.
  • 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. Emma Darwin
    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.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6011d248190988380eca4ecf514 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada962149881908c6ecba8347e22d7 completed March 8, 2026, 4:52 p.m.
Created at: March 1, 2026, 8:11 p.m.