Triple
T25597652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Wyoming v. Aaron McKinney |
E641696
|
entity |
| Predicate | crimeMethod |
P128435
|
FINISHED |
| Object | beating |
—
|
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: beating | Statement: [State of Wyoming v. Aaron McKinney, crimeMethod, beating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crimeMethod Context triple: [State of Wyoming v. Aaron McKinney, crimeMethod, beating]
-
A.
criminalType
Indicates the specific category or classification of crime associated with a criminal act or offender.
-
B.
methodOfMurderScheme
chosen
Indicates the specific method or scheme by which a murder is carried out in a given situation or plan.
-
C.
crimeType
Indicates the specific category or nature of the crime associated with an event or entity.
-
D.
styleOfCrime
Indicates the particular manner, method, or characteristic pattern in which a crime is committed.
-
E.
crimeLocation
Indicates that a crime occurred at, or is associated with, a particular location.
- 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.