Triple
T23342344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willie Sutton |
E591766
|
entity |
| Predicate | styleOfCrime |
P151937
|
FINISHED |
| Object | careful planning and non-lethal methods |
—
|
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: careful planning and non-lethal methods | Statement: [Willie Sutton, styleOfCrime, careful planning and non-lethal methods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfCrime Context triple: [Willie Sutton, styleOfCrime, careful planning and non-lethal methods]
-
A.
settingOfCrime
Indicates the location or environment in which a crime takes place.
-
B.
criminalType
Indicates the specific category or classification of crime associated with a criminal act or offender.
-
C.
methodOfMurderScheme
Indicates the specific method or scheme by which a murder is carried out in a given situation or plan.
-
D.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
-
E.
targetOfCrime
Indicates that the subject is the person, organization, or entity against whom the referenced crime is committed.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198334dec819081c432b434eb3ba5 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:18 p.m.