Triple
T25597658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Wyoming v. Aaron McKinney |
E641696
|
entity |
| Predicate | pleaType |
P1780
|
FINISHED |
| Object | guilty to felony murder and kidnapping |
—
|
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: guilty to felony murder and kidnapping | Statement: [State of Wyoming v. Aaron McKinney, pleaType, guilty to felony murder and kidnapping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pleaType Context triple: [State of Wyoming v. Aaron McKinney, pleaType, guilty to felony murder and kidnapping]
-
A.
pleaTo
Indicates that one entity formally requests or appeals to another entity, often seeking a specific decision, action, or lenient judgment.
-
B.
plea
chosen
Indicates that a defendant formally states their response (such as guilty, not guilty, or no contest) to criminal charges in a legal proceeding.
-
C.
pleadsWith
Indicates that one entity urgently and emotionally appeals to another, often requesting help, mercy, or a favorable decision.
-
D.
partyTypePlaintiffs
Indicates the classification or category of the parties serving as plaintiffs in a legal action.
-
E.
dateOfPlea
Indicates the specific calendar date on which a formal plea was entered in a legal proceeding.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a420f08190a8ed8c9a8c245fc4 |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:28 p.m.