Triple
T24070437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | murder of Albert Snyder |
E596209
|
entity |
| Predicate | hasProsecution |
P1692
|
FINISHED |
| Object | People of the State of New York |
—
|
NE NERFINISHED |
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: People of the State of New York | Statement: [murder of Albert Snyder, hasProsecution, People of the State of New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProsecution Context triple: [murder of Albert Snyder, hasProsecution, People of the State of New York]
-
A.
prosecuted
chosen
Indicates that legal authorities have formally brought criminal charges against an entity and pursued a case against them in a court of law.
-
B.
mayProsecute
Indicates that one party has the legal authority or permission to initiate and conduct prosecution against another party.
-
C.
hasJustice
Indicates that an entity possesses, upholds, or embodies justice in its actions, qualities, or governing principles.
-
D.
wasNotProsecutedBy
Indicates that an entity did not face legal prosecution initiated or carried out by the specified agent or authority.
-
E.
helpsProsecute
Indicates that one entity assists another entity in carrying out a legal prosecution against a target.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db17c99881909f97e858fb183d86 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:41 p.m.