Triple

T5756857
Position Surface form Disambiguated ID Type / Status
Subject Toynbee Hall E126988 entity
Predicate founder P104 FINISHED
Object Henrietta Barnett E377826 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: Henrietta Barnett | Statement: [Toynbee Hall, founder, Henrietta Barnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henrietta Barnett
Context triple: [Toynbee Hall, founder, Henrietta Barnett]
  • A. Henrietta Barnett chosen
    Henrietta Barnett was a British social reformer and philanthropist best known for co-founding Hampstead Garden Suburb and advocating for improved housing and education for the poor.
  • B. Eglantyne Jebb
    Eglantyne Jebb was a British social reformer and humanitarian best known for founding the international child welfare organization Save the Children and pioneering the concept of children’s rights.
  • C. Josephine Butler
    Josephine Butler was a prominent 19th-century British feminist and social reformer known for her campaigns for women's rights and the abolition of state-regulated prostitution.
  • D. Elizabeth Ann Goodwin
    Elizabeth Ann Goodwin was the mother of Canadian physician and humanitarian Norman Bethune.
  • E. 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."
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029084e108190988f1b5f38254007 completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e47c1788190b5883df385475237 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:49 p.m.