Triple
T31521750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Burr |
E804223
|
entity |
| Predicate | votedToConvictInImpeachmentOf |
P172265
|
FINISHED |
| Object | Donald Trump |
—
|
NE NERFINISHED |
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: Donald Trump | Statement: [Richard Burr, votedToConvictInImpeachmentOf, Donald Trump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votedToConvictInImpeachmentOf Context triple: [Richard Burr, votedToConvictInImpeachmentOf, Donald Trump]
-
A.
impeachedIn
Indicates that a person has been formally charged with misconduct through an impeachment process in a specified jurisdiction or legislative body.
-
B.
subjectToImpeachmentVote
Indicates that a person or official is currently facing or has been formally brought to a legislative vote on whether to impeach them.
-
C.
impeachmentOutcome
Indicates the result or final status of an impeachment process against a specific officeholder.
-
D.
canImpeach
Indicates that one entity has the authority or power to formally impeach another entity.
-
E.
impeachmentConvictionThreshold
Indicates the required level of support or number of votes needed to convict an official in an impeachment proceeding.
- F. None of above. chosen
Provenance (4 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 30, 2026, 9:56 p.m.