Triple
T5773358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Blagojevich |
E127379
|
entity |
| Predicate | reasonForImpeachment |
P9571
|
FINISHED |
| Object | corruption and abuse of power |
—
|
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: corruption and abuse of power | Statement: [Rod Blagojevich, reasonForImpeachment, corruption and abuse of power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForImpeachment Context triple: [Rod Blagojevich, reasonForImpeachment, corruption and abuse of power]
-
A.
impeachmentGrounds
chosen
Indicates that a particular reason, action, or circumstance serves as a valid basis or justification for initiating impeachment proceedings against an officeholder.
-
B.
impeached
Indicates that a formal charge of misconduct has been brought against a public official through an official legislative or judicial process.
-
C.
impeachmentInitiation
Indicates the formal start of a process to charge and potentially remove a public official from office for alleged misconduct.
-
D.
numberOfArticlesOfImpeachment
Indicates the specific count of formal impeachment charges brought against a person or officeholder.
-
E.
impeachmentOutcome
Indicates the result or final status of an impeachment process against a specific officeholder.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.