Triple
T4206343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Hunt |
E93790
|
entity |
| Predicate | appointedBy |
P257
|
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: [Jeremy Hunt, appointedBy, Theresa May]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theresa May Context triple: [Jeremy Hunt, appointedBy, 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3480cfacc81909a2705eb4e9ce8c1 |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b596258db88190aed602eeb2323fee |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 12, 2026, 11:03 p.m.