Triple
T22567582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. John W. Dean III |
E557991
|
entity |
| Predicate | involvesPleaAgreement |
P68025
|
FINISHED |
| Object | plea bargain with federal prosecutors |
—
|
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: plea bargain with federal prosecutors | Statement: [United States v. John W. Dean III, involvesPleaAgreement, plea bargain with federal prosecutors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesPleaAgreement Context triple: [United States v. John W. Dean III, involvesPleaAgreement, plea bargain with federal prosecutors]
-
A.
involvedAgreement
chosen
Indicates that an entity participates in, is a party to, or is otherwise associated with a specific agreement or contract.
-
B.
guiltyPleaCount
Indicates the number of times an entity has entered a plea of guilty in legal proceedings.
-
C.
dateOfPlea
Indicates the specific calendar date on which a formal plea was entered in a legal proceeding.
-
D.
pleadsWith
Indicates that one entity urgently and emotionally appeals to another, often requesting help, mercy, or a favorable decision.
-
E.
legalDocumentInvolvement
Indicates that an entity is involved with a legal document in some specified role (e.g., author, signer, subject, or recipient).
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fabb9f081908c33c8e2ddf18047 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.