Triple

T15010686
Position Surface form Disambiguated ID Type / Status
Subject Henrietta Barnett E377826 entity
Predicate spouse P13 FINISHED
Object Samuel Barnett E546729 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: Samuel Barnett | Statement: [Henrietta Barnett, spouse, Samuel Barnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Barnett
Context triple: [Henrietta Barnett, spouse, Samuel Barnett]
  • A. Samuel Barnett chosen
    Samuel Barnett was a British clergyman and social reformer best known for pioneering the university settlement movement and co-founding Toynbee Hall in London’s East End.
  • B. Samuel Barnett
    Samuel Barnett is an English actor best known for originating the role of Posner in Alan Bennett’s play "The History Boys" on stage and screen.
  • C. Samuel Garbett
    Samuel Garbett was an 18th-century English industrialist and merchant from Birmingham, known for his role in the early chemical industry and his involvement in the influential Lunar Society.
  • D. Samuel Bayliss
    Samuel Bayliss was a notable local figure significant enough to have Bayliss Park named in his honor, likely for his contributions to the surrounding community or its development.
  • E. Andrew Bennison
    Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded734943481908dad4ceed4fe850c completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a7dcac8190b0153d7cdac03afa completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.