Triple
T2529835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Mariano |
E56129
|
entity |
| Predicate | political ideology |
P16609
|
FINISHED |
| Object | American 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: American liberalism | Statement: [Ronald Mariano, political ideology, American liberalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: political ideology Context triple: [Ronald Mariano, political ideology, American liberalism]
-
A.
ideology
Indicates the belief system or set of political, social, or philosophical principles that an entity adheres to or promotes.
-
B.
politicalIdentity
chosen
Indicates the political affiliation, ideology, or stance that characterizes an entity’s position within a political spectrum or system.
-
C.
politicalTendency
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
D.
opposingIdeology
Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
-
E.
ideologicalRange
Indicates the span or spectrum of ideological positions or beliefs associated with an entity, typically from one end of a defined ideological scale to the other.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd276930c8190bd46b52e06b7098e |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.