Triple
T10401058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geronimo Pratt |
E245146
|
entity |
| Predicate | reasonForOverturningConviction |
P93712
|
FINISHED |
| Object | prosecutorial misconduct |
—
|
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: prosecutorial misconduct | Statement: [Geronimo Pratt, reasonForOverturningConviction, prosecutorial misconduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForOverturningConviction Context triple: [Geronimo Pratt, reasonForOverturningConviction, prosecutorial misconduct]
-
A.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
-
B.
convictionQuashed
Indicates that a previously imposed criminal conviction has been formally annulled or set aside, so it no longer has legal effect.
-
C.
overturnedLaw
Indicates that a previously established law has been invalidated or reversed, typically by a higher legal authority or court decision.
-
D.
overturnedDecisionOf
Indicates that one decision reversed, nullified, or set aside a previous decision.
-
E.
wasOverturnedByCourt
Indicates that a prior decision, ruling, or judgment was reversed or nullified by a court.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e2f11c8190b30695cba2975544 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:07 p.m.