Triple
T36835274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Waldegrave of North Hill |
E910251
|
entity |
| Predicate | holderIsFormerCabinetMinister |
P137040
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Baron Waldegrave of North Hill, holderIsFormerCabinetMinister, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderIsFormerCabinetMinister Context triple: [Baron Waldegrave of North Hill, holderIsFormerCabinetMinister, yes]
-
A.
titleHolderIsFormerCabinetMinister
chosen
Indicates that the title holder previously served as a member of a government cabinet.
-
B.
hasFormerMP
Indicates that an entity previously served as a Member of Parliament for another entity (such as a constituency, party, or legislative body), but no longer holds that position.
-
C.
hasFormerPrimeMinister
Indicates that an entity has, among its past officeholders, at least one person who previously served as its prime minister.
-
D.
hadMinisterialPost
Indicates that an entity has held or occupied a ministerial government position or office.
-
E.
titleHolderIsMemberOfParliamentFormerly
Indicates that the person holding the title previously served as a member of parliament.
- F. None of above.
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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.