Triple
T11442162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stump Speaking |
E271170
|
entity |
| Predicate | depictsPoliticalTheme |
P31282
|
FINISHED |
| Object | democratic process |
—
|
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: democratic process | Statement: [Stump Speaking, depictsPoliticalTheme, democratic process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPoliticalTheme Context triple: [Stump Speaking, depictsPoliticalTheme, democratic process]
-
A.
politicalTheme
chosen
Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
-
B.
politicalSideDepicted
Indicates that one entity portrays, represents, or visually depicts the political alignment, ideology, or side associated with another entity.
-
C.
depictsPoliticalEntity
Indicates that one entity visually represents or portrays a political entity in some form.
-
D.
ideologicalTheme
Indicates that one entity embodies, expresses, or is centrally concerned with a particular ideology or set of ideological beliefs.
-
E.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d808891b7481908bf5a80cb7644061 |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.