Triple
T7508814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | first impeachment of Donald Trump |
E177461
|
entity |
| Predicate | positionHeldByImpeached |
P77378
|
FINISHED |
| Object | 45th president of the United States |
—
|
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: 45th president of the United States | Statement: [first impeachment of Donald Trump, positionHeldByImpeached, 45th president of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldByImpeached Context triple: [first impeachment of Donald Trump, positionHeldByImpeached, 45th president of the United States]
-
A.
impeachmentTarget
Indicates that an entity is the person or official against whom impeachment proceedings are directed.
-
B.
impeached
Indicates that a formal charge of misconduct has been brought against a public official through an official legislative or judicial process.
-
C.
canImpeach
Indicates that one entity has the authority or power to formally impeach another entity.
-
D.
impeachmentRole
Indicates the specific role or capacity an entity holds in relation to an impeachment process or proceeding.
-
E.
impeachmentYear
Indicates the year in which an entity (typically a public official) was formally impeached.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f574d8a8819095749518dad13791 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:45 p.m.