Triple
T33948342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Callender |
E870369
|
entity |
| Predicate | defendantPoliticalAlignment |
P8820
|
FINISHED |
| Object | Democratic-Republican |
—
|
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-Republican | Statement: [United States v. Callender, defendantPoliticalAlignment, Democratic-Republican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendantPoliticalAlignment Context triple: [United States v. Callender, defendantPoliticalAlignment, Democratic-Republican]
-
A.
partyAffiliationOfDefendant
chosen
Indicates the political party with which the defendant is affiliated.
-
B.
accusedPoliticalAlignment
Indicates that one entity has been accused of holding, supporting, or being associated with a particular political alignment or ideology by another party or source.
-
C.
partyAlignment
Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
-
D.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
E.
protagonistPoliticalAffiliation
Indicates the political party, ideology, or movement with which the protagonist is aligned or identified.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: May 1, 2026, 1:49 a.m.