Triple

T8013680
Position Surface form Disambiguated ID Type / Status
Subject Priti Patel E186556 entity
Predicate servedInCabinetOf P15469 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: [Priti Patel, servedInCabinetOf, Theresa May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theresa May
Context triple: [Priti Patel, servedInCabinetOf, 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df0f4bc8190ae87586972018085 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe3243348190bd4e9073e5460386 completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:19 p.m.