Triple
T15808009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Reynolds |
E383270
|
entity |
| Predicate | ideologyOnTaxation |
P18983
|
FINISHED |
| Object | low-tax policy |
—
|
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: low-tax policy | Statement: [Kim Reynolds, ideologyOnTaxation, low-tax policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ideologyOnTaxation Context triple: [Kim Reynolds, ideologyOnTaxation, low-tax policy]
-
A.
ideology
Indicates the belief system or set of political, social, or philosophical principles that an entity adheres to or promotes.
-
B.
opposingIdeology
Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
-
C.
ideologicalTheme
Indicates that one entity embodies, expresses, or is centrally concerned with a particular ideology or set of ideological beliefs.
-
D.
ideologicalEmphasis
chosen
Indicates a relationship where an entity places particular focus or priority on a specific ideology or set of ideological principles.
-
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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52896bc819086ef95cc63e90daa |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.