Triple
T735061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States politics |
E14910
|
entity |
| Predicate | hasIdeologicalCurrent |
P10185
|
FINISHED |
| Object | liberalism |
—
|
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: liberalism | Statement: [United States politics, hasIdeologicalCurrent, liberalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIdeologicalCurrent Context triple: [United States politics, hasIdeologicalCurrent, liberalism]
-
A.
ideologicalCore
Indicates that one entity represents the central or foundational set of beliefs, values, or principles that fundamentally shape and guide another entity’s ideology.
-
B.
ideologicalInfluence
chosen
Indicates that one entity’s beliefs, values, or doctrines shape, guide, or significantly affect the ideology of another entity.
-
C.
mainIdeologue
Indicates that one entity serves as the primary theorist or chief ideological architect behind another entity’s beliefs, policies, or movement.
-
D.
ideologyComponent
Indicates that one ideology is a constituent or defining part of another, broader ideology.
-
E.
ideologicalText
Indicates that a text expresses, promotes, or is grounded in a particular ideology or system of beliefs.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fafee081909bf356854c09aaff |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.