Triple
T37997347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belva Gaertner murder case |
E947995
|
entity |
| Predicate | hasProsecutionArgument |
P204525
|
FINISHED |
| Object | Belva Gaertner shot Walter Law in her car |
—
|
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: Belva Gaertner shot Walter Law in her car | Statement: [Belva Gaertner murder case, hasProsecutionArgument, Belva Gaertner shot Walter Law in her car]
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 (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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.