Triple

T4888308
Position Surface form Disambiguated ID Type / Status
Subject St Hugh’s College, Oxford E109494 entity
Predicate hasAlumnus P51 FINISHED
Object Theresa May E11449 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: Theresa May | Statement: [St Hugh’s College, Oxford, hasAlumnus, Theresa May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theresa May
Context triple: [St Hugh’s College, Oxford, hasAlumnus, Theresa May]
  • A. Theresa May chosen
    Theresa May is a British politician who served as Prime Minister of the United Kingdom from 2016 to 2019.
  • B. Liz Truss
    Liz Truss is a British Conservative politician who briefly served as Prime Minister of the United Kingdom in 2022, becoming the shortest-serving holder of the office.
  • C. Mrs David Cameron
    Mrs David Cameron is the formal married title of Samantha Cameron, the wife of former UK Prime Minister David Cameron.
  • D. Boris Johnson
    Boris Johnson is a British Conservative politician who served as Prime Minister of the United Kingdom from 2019 to 2022 and was a leading figure in the Brexit campaign.
  • E. Esther McVey
    Esther McVey is a British Conservative Party politician and former television presenter who has served in several ministerial roles, including as Secretary of State for Work and Pensions.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e053db8819087828e753c78d341 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be68126b288190889b2cf6e400ec0b completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:28 p.m.