Triple
T6851673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Leon Rubenstein |
E158031
|
entity |
| Predicate | appealResult |
P18643
|
FINISHED |
| Object | conviction overturned on appeal |
—
|
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: conviction overturned on appeal | Statement: [Jacob Leon Rubenstein, appealResult, conviction overturned on appeal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appealResult Context triple: [Jacob Leon Rubenstein, appealResult, conviction overturned on appeal]
-
A.
appealStatus
chosen
Indicates the current state or outcome of an appeal within a review or decision process.
-
B.
appeal
Indicates that one party formally requests a higher authority to review, reconsider, or overturn a prior decision, judgment, or outcome.
-
C.
appealsFor
Indicates that one entity formally requests support, intervention, or a favorable decision from another entity.
-
D.
appealDate
Indicates the date on which an appeal is formally filed, recorded, or scheduled in relation to a decision or case.
-
E.
legalOutcome
Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84e6fb08190915954be5b0df2d8 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.