Triple
T8758341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ron Reagan Show |
E208128
|
entity |
| Predicate | hostPoliticalViewpoint |
P15842
|
FINISHED |
| Object | liberal |
—
|
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: liberal | Statement: [The Ron Reagan Show, hostPoliticalViewpoint, liberal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostPoliticalViewpoint Context triple: [The Ron Reagan Show, hostPoliticalViewpoint, liberal]
-
A.
viewOnPolitics
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding political matters in relation to another entity or context.
-
B.
isPoliticalHub
Indicates that a place or entity serves as a central location or focal point for political activity, organization, or influence.
-
C.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
-
D.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
E.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddc2d9c81908948aee2b956cce4 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.