Triple
T26081329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Different Kind of Democrat |
E657851
|
entity |
| Predicate | targetVoterBase |
P3251
|
FINISHED |
| Object | moderate Democrats |
—
|
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: moderate Democrats | Statement: [A Different Kind of Democrat, targetVoterBase, moderate Democrats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetVoterBase Context triple: [A Different Kind of Democrat, targetVoterBase, moderate Democrats]
-
A.
voterFunction
Indicates a relationship where an entity serves in the role or capacity of a voter within a decision-making or electoral process.
-
B.
electoralBase
chosen
Indicates the group of voters or supporters that primarily backs or sustains a particular candidate, party, or political movement in elections.
-
C.
targetConstituency
Indicates that something is directed toward, intended for, or affects a particular constituency or group of stakeholders.
-
D.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
-
E.
votingBasis
Indicates the principle, criterion, or grounds on which a vote or voting decision is made.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 26, 2026, 7:38 p.m.