Triple
T26403694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haley Graham |
E663772
|
entity |
| Predicate | reasonForProbation |
P58903
|
FINISHED |
| Object | property damage at a housing development |
—
|
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: property damage at a housing development | Statement: [Haley Graham, reasonForProbation, property damage at a housing development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForProbation Context triple: [Haley Graham, reasonForProbation, property damage at a housing development]
-
A.
reasonForPunishment
chosen
Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
-
B.
reasonForRefusingConditionalRelease
Indicates the specific reason or justification given for denying or withholding a conditional release in a particular case.
-
C.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
-
D.
probationRequirement
Indicates that an entity is obligated to fulfill specific conditions or terms as part of a probationary status or supervision period.
-
E.
hasReasonForArrest
Indicates that an arrest is associated with a specific reason or cause.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 26, 2026, 11:33 p.m.