Triple
T12544989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton impeachment |
E299937
|
entity |
| Predicate | accusationContext |
P105813
|
FINISHED |
| Object | testimony in Paula Jones civil lawsuit |
—
|
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: testimony in Paula Jones civil lawsuit | Statement: [Clinton impeachment, accusationContext, testimony in Paula Jones civil lawsuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accusationContext Context triple: [Clinton impeachment, accusationContext, testimony in Paula Jones civil lawsuit]
-
A.
accusationType
Indicates the specific category or nature of an accusation made by one party against another.
-
B.
accusationTarget
Indicates that one entity is the object or recipient of an accusation made by another entity.
-
C.
accusedIn
Indicates that a person or entity is formally charged with wrongdoing in a particular case, proceeding, or context.
-
D.
accuserIn
Indicates that one entity is the party who brings a charge or accusation against another entity within a specific context or case.
-
E.
victimOfAccusation
Indicates that an entity is the target or subject of an accusation made by another party.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.