Triple
T35027098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Skakel |
E1010368
|
entity |
| Predicate | convictionVacatedBy |
P63059
|
FINISHED |
| Object | Connecticut Supreme Court |
—
|
NE NERFINISHED |
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: Connecticut Supreme Court | Statement: [Michael Skakel, convictionVacatedBy, Connecticut Supreme Court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convictionVacatedBy Context triple: [Michael Skakel, convictionVacatedBy, Connecticut Supreme Court]
-
A.
convictionQuashed
chosen
Indicates that a previously imposed criminal conviction has been formally annulled or set aside, so it no longer has legal effect.
-
B.
yearConvictionsQuashed
Indicates the year in which previously recorded convictions were officially overturned or quashed.
-
C.
acquittedBy
Indicates that an entity was formally cleared of charges or blame through a decision or judgment made by another entity.
-
D.
acquittedOf
Indicates that an authority has formally cleared an entity of a specific charge, accusation, or wrongdoing.
-
E.
reasonForOverturningConviction
Indicates the specific grounds or justification that led to a prior conviction being reversed or nullified.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.