Triple
T25031955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant of Stirling |
E626870
|
entity |
| Predicate | isNonExecutiveRole |
P23628
|
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: [Lord Lieutenant of Stirling, isNonExecutiveRole, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonExecutiveRole Context triple: [Lord Lieutenant of Stirling, isNonExecutiveRole, yes]
-
A.
isNonExecutive
chosen
Indicates that an entity holds a role or position that does not involve executive or top-level managerial authority within an organization.
-
B.
isNonCabinetPosition
Indicates that the position held by an individual is not part of the official cabinet-level roles within a government or organization.
-
C.
roleInExecutive
Indicates that an entity holds a specific position or function within an executive body or leadership structure.
-
D.
isNonProfitRole
Indicates that a role or position is associated with a nonprofit organization or activity rather than a for-profit context.
-
E.
isNonPoliticalOffice
Indicates that the office or position in question is not associated with political power, political decision-making, or elected political roles.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:07 a.m.