Triple
T37997347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belva Gaertner murder case |
E947995
|
entity |
| Predicate | hasProsecutionArgument |
—
|
GENERATED |
| Object | Belva Gaertner shot Walter Law in her car |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProsecutionArgument Context triple: [Belva Gaertner murder case, hasProsecutionArgument, Belva Gaertner shot Walter Law in her car]
-
A.
arguedWith
Indicates that one entity engaged in a verbal dispute or disagreement with another entity.
-
B.
hasDefenseCounsel
Indicates that a person or party is represented or assisted by a defense attorney or legal counsel in a legal matter.
-
C.
counselForProsecution
Indicates that an entity serves as a legal representative or advisor acting on behalf of the prosecution in a legal proceeding.
-
D.
hasArguedYear
Indicates the year in which an argument, debate, or dispute involving the subject took place.
-
E.
supportsProsecutionIn
Indicates that an entity provides assistance or backing to the prosecution side within a specified legal case or jurisdiction.
- F. None of above. chosen
Provenance (1 batch)
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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.