Triple
T16097660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge Joe Brown |
E390527
|
entity |
| Predicate | disputeSubjectMatter |
P83607
|
FINISHED |
| Object | personal disputes |
—
|
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: personal disputes | Statement: [Judge Joe Brown, disputeSubjectMatter, personal disputes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disputeSubjectMatter Context triple: [Judge Joe Brown, disputeSubjectMatter, personal disputes]
-
A.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
B.
disputeIssue
Indicates that there is a disagreement or conflict specifically concerning a particular issue or point of contention.
-
C.
legalDisputeSubject
chosen
Indicates that a legal dispute concerns, involves, or is specifically about the referenced subject or matter.
-
D.
disputeOrigin
Indicates that there is disagreement or uncertainty about the source, cause, or initial point of something.
-
E.
significantDispute
Indicates a serious, often prolonged disagreement or conflict exists between the involved entities.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.