Triple
T7198137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Gladstone |
E168667
|
entity |
| Predicate | politicalSphereRole |
P72824
|
FINISHED |
| Object | informal 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: informal adviser | Statement: [Catherine Gladstone, politicalSphereRole, informal adviser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalSphereRole Context triple: [Catherine Gladstone, politicalSphereRole, informal adviser]
-
A.
politicalSphere
Indicates involvement or relevance within the domain of politics, governance, or public policy activities and interactions.
-
B.
politicalOrSocialRole
chosen
Indicates that an entity holds or is associated with a specific political or social position, function, or status within a group or society.
-
C.
countryNationalRole
Indicates the official function, position, or responsibility that an entity holds at the national level within a specific country.
-
D.
partySystemRole
Indicates the specific functional role or capacity that a party assumes within a given system or context.
-
E.
hasPoliticalRole
Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92a5d288190955f703470e75bf3 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.