Triple
T17139729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | second impeachment of Donald Trump |
E415931
|
entity |
| Predicate | accusationDescription |
P126264
|
FINISHED |
| Object | Trump encouraged and incited violence against the Government 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: Trump encouraged and incited violence against the Government of the United States | Statement: [second impeachment of Donald Trump, accusationDescription, Trump encouraged and incited violence against the Government of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accusationDescription Context triple: [second impeachment of Donald Trump, accusationDescription, Trump encouraged and incited violence against the Government of the United States]
-
A.
accusationType
Indicates the specific category or nature of an accusation made by one party against another.
-
B.
accusationContext
Indicates the situational or conversational setting in which an accusation is made, such as its background, circumstances, or framing.
-
C.
accusationTarget
Indicates that one entity is the object or recipient of an accusation made by another entity.
-
D.
victimOfAccusation
Indicates that an entity is the target or subject of an accusation made by another party.
-
E.
associatedWithAccusation
Indicates a relationship where an entity is linked or connected to a specific accusation or charge.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d318a88190aae8d776376c8053 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.