Triple
T19406309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquess of Bute |
E485470
|
entity |
| Predicate | associatedWithInfluence |
P69465
|
FINISHED |
| Object | political influence in Scotland |
—
|
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: political influence in Scotland | Statement: [Marquess of Bute, associatedWithInfluence, political influence in Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithInfluence Context triple: [Marquess of Bute, associatedWithInfluence, political influence in Scotland]
-
A.
hasLoanInfluenceFrom
Indicates that one entity’s loan terms, availability, or conditions are affected or shaped by another entity.
-
B.
influentialAs
Indicates that one entity has at least as much influence or impact as another entity.
-
C.
influentialFrom
chosen
Indicates that one entity has exerted influence on another, contributing to or shaping the latter’s ideas, behavior, or development.
-
D.
hasSocialInfluenceThrough
Indicates that one entity exerts social influence on another specifically by means of an intermediary channel, platform, or relationship.
-
E.
hasContactInfluenceFrom
Indicates that one entity’s state, behavior, or properties are directly affected or altered through physical or direct contact with another entity.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257af68881908147beedc29ff64c |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:36 p.m.