Triple
T12157278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LeRoy Shelton |
E289605
|
entity |
| Predicate | caseHoldingRelatedTo |
P103256
|
FINISHED |
| Object | indigent defendants |
—
|
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: indigent defendants | Statement: [LeRoy Shelton, caseHoldingRelatedTo, indigent defendants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caseHoldingRelatedTo Context triple: [LeRoy Shelton, caseHoldingRelatedTo, indigent defendants]
-
A.
relatedCase
Indicates that one legal case is connected or associated with another case, such as through shared facts, parties, issues, or procedural history.
-
B.
legalCaseRelatedTo
Indicates that there is a relevant connection or association between a legal case and another entity, such as a person, organization, event, or legal matter.
-
C.
associatedCourtCase
Indicates a relationship where one entity is linked to, or involved in, a particular court case.
-
D.
legalCaseOutcomeAssociatedWith
Indicates that a particular legal case outcome is connected or linked to a specific related entity, such as a case, party, or legal proceeding.
-
E.
relatedCaseArea
Indicates that one case is associated with, pertains to, or falls within the subject matter or domain of another case area.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d915d58ab881908b5b7901990308a4 |
completed | April 10, 2026, 3:23 p.m. |
Created at: April 8, 2026, 9:50 p.m.