Triple
T297515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | impeachment of Andrew Johnson |
E6124
|
entity |
| Predicate | dateOfSenateAcquittalOnArticle11 |
P10905
|
FINISHED |
| Object | 1868-05-16 |
—
|
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: 1868-05-16 | Statement: [impeachment of Andrew Johnson, dateOfSenateAcquittalOnArticle11, 1868-05-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfSenateAcquittalOnArticle11 Context triple: [impeachment of Andrew Johnson, dateOfSenateAcquittalOnArticle11, 1868-05-16]
-
A.
numberOfAcquittals
Indicates the count of instances in which an entity has been formally acquitted of charges or accusations.
-
B.
impeachmentConvictionThreshold
Indicates the required level of support or number of votes needed to convict an official in an impeachment proceeding.
-
C.
canImpeach
Indicates that one entity has the authority or power to formally impeach another entity.
-
D.
impeachmentGrounds
Indicates that a particular reason, action, or circumstance serves as a valid basis or justification for initiating impeachment proceedings against an officeholder.
-
E.
wasOverturnedInYear
Indicates that a prior decision, ruling, or outcome was reversed or nullified in the specified year.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea4778cc8190be7b648a82542891 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e937af888190a0960708f09ae033 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea4545608190898436c72e10f39d |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.