Triple
T28236720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conservative Party (advisor, not member of Parliament) |
E711899
|
entity |
| Predicate | roleEmphasizes |
P101536
|
FINISHED |
| Object | unelected adviser |
—
|
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: unelected adviser | Statement: [Conservative Party (advisor, not member of Parliament), roleEmphasizes, unelected adviser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleEmphasizes Context triple: [Conservative Party (advisor, not member of Parliament), roleEmphasizes, unelected adviser]
-
A.
socialRoleEmphasis
chosen
Indicates an emphasis on or prioritization of a particular social role within a relationship or interaction.
-
B.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
C.
rolePurpose
Indicates the intended function, objective, or responsibility that a given role is meant to fulfill.
-
D.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
roleAccordingTo
Indicates that an entity holds a particular role or function as defined or interpreted by a specified source or perspective.
- 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_69efb51ece308190b8c269a057e36652 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643c204508190a43fe0ec5165b01c |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:55 p.m.