Triple

T7996915
Position Surface form Disambiguated ID Type / Status
Subject Anderson E186148 entity
Predicate hasNotableBearer P458 FINISHED
Object Elizabeth Garrett Anderson E615742 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: Elizabeth Garrett Anderson | Statement: [Anderson, hasNotableBearer, Elizabeth Garrett Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Garrett Anderson
Context triple: [Anderson, hasNotableBearer, Elizabeth Garrett Anderson]
  • A. Elizabeth Garrett Anderson chosen
    Elizabeth Garrett Anderson was a pioneering English physician and suffragist, best known as the first woman to qualify as a doctor in Britain and a leading campaigner for women's rights.
  • B. Helen Saunders
    Helen Saunders was a British modernist painter and one of the few prominent women artists involved in the early 20th-century Vorticist movement.
  • C. Elizabeth Sydenham
    Elizabeth Sydenham was an English noblewoman best known as the wife of the Elizabethan naval commander and explorer Sir Francis Drake.
  • D. Mary Debenham
    Mary Debenham is a poised and self-possessed English governess who becomes a key suspect in Agatha Christie’s detective novel "Murder on the Orient Express."
  • E. Alice Hamilton
    Alice Hamilton was a pioneering American physician and researcher who became the nation’s leading expert in industrial medicine and occupational health in the early 20th century.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c97968481908d261b3f0bd6b8e6 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe10d5eb081909f257390094de442 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:17 p.m.