Triple
T3381200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talking Reason to Power |
E71186
|
entity |
| Predicate | aimsToInfluence |
P30639
|
FINISHED |
| Object | global policy on peace and security |
—
|
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: global policy on peace and security | Statement: [Talking Reason to Power, aimsToInfluence, global policy on peace and security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToInfluence Context triple: [Talking Reason to Power, aimsToInfluence, global policy on peace and security]
-
A.
seeksToInfluence
chosen
Indicates an entity’s intention or effort to affect, shape, or alter another entity’s behavior, decisions, or state.
-
B.
politicalInfluenceIn
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
-
C.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
D.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
E.
ideologicalInfluence
Indicates that one entity’s beliefs, values, or doctrines shape, guide, or significantly affect the ideology of 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e7c7f48190afb78c311b424c93 |
completed | March 8, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.