Triple
T36749611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suella Braverman |
E907867
|
entity |
| Predicate | termStartAsHomeSecretary |
P186545
|
FINISHED |
| Object | 2022-09 |
—
|
LITERAL 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: 2022-09 | Statement: [Suella Braverman, termStartAsHomeSecretary, 2022-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsHomeSecretary Context triple: [Suella Braverman, termStartAsHomeSecretary, 2022-09]
-
A.
termStartAsSecretaryOfState
Indicates the date or event marking when an individual begins their term serving in the role of Secretary of State.
-
B.
termStartAsUnderSecretaryOfStateForForeignAffairs
Indicates the date or period when someone began serving as Under Secretary of State for Foreign Affairs.
-
C.
termStartAsSecretaryOfCommerce
Indicates the date or point in time when an individual begins serving in the role of Secretary of Commerce.
-
D.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
E.
termStartAsSecretaryOfDemocraticParty
Indicates the start date or beginning of a person’s term serving as secretary of the Democratic Party.
- F. None of above. chosen
Provenance (4 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_69f76e76d10881909ec1679bc043108c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:12 p.m.