Triple
T2140424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 116th United States Congress |
E46746
|
entity |
| Predicate | senateImpeachmentTrialOutcome |
P20775
|
FINISHED |
| Object | acquittal of Donald Trump |
—
|
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: acquittal of Donald Trump | Statement: [116th United States Congress, senateImpeachmentTrialOutcome, acquittal of Donald Trump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateImpeachmentTrialOutcome Context triple: [116th United States Congress, senateImpeachmentTrialOutcome, acquittal of Donald Trump]
-
A.
impeachmentOutcome
chosen
Indicates the result or final status of an impeachment process against a specific officeholder.
-
B.
canImpeach
Indicates that one entity has the authority or power to formally impeach another entity.
-
C.
impeachmentYear
Indicates the year in which an entity (typically a public official) was formally impeached.
-
D.
impeached
Indicates that a formal charge of misconduct has been brought against a public official through an official legislative or judicial process.
-
E.
impeachmentTarget
Indicates that an entity is the person or official against whom impeachment proceedings are directed.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.