Triple
T893166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Johnson |
E19284
|
entity |
| Predicate | senateAcquittalMargin |
P10904
|
FINISHED |
| Object | one vote short of required two-thirds |
—
|
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: one vote short of required two-thirds | Statement: [Andrew Johnson, senateAcquittalMargin, one vote short of required two-thirds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateAcquittalMargin Context triple: [Andrew Johnson, senateAcquittalMargin, one vote short of required two-thirds]
-
A.
impeachmentConvictionThreshold
Indicates the required level of support or number of votes needed to convict an official in an impeachment proceeding.
-
B.
numberOfAcquittals
Indicates the count of instances in which an entity has been formally acquitted of charges or accusations.
-
C.
marginOfAcquittalOnKeyArticles
chosen
Indicates the numerical difference between votes for and against acquittal on the principal or most important charges in a case.
-
D.
clotureThreshold
Indicates the minimum number or proportion of votes required to end debate and proceed to a final decision on a proposal.
-
E.
acquittedBy
Indicates that an entity was formally cleared of charges or blame through a decision or judgment made by another entity.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.