Triple
T29024509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korey Wise |
E737550
|
entity |
| Predicate | causeOfExoneration |
P168365
|
FINISHED |
| Object | DNA evidence excluding him as the attacker |
—
|
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: DNA evidence excluding him as the attacker | Statement: [Korey Wise, causeOfExoneration, DNA evidence excluding him as the attacker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfExoneration Context triple: [Korey Wise, causeOfExoneration, DNA evidence excluding him as the attacker]
-
A.
exonerationGroundsInclude
chosen
Indicates that the reasons or grounds for an exoneration include a specified factor or condition.
-
B.
exoneratedIn
Indicates that an entity has been officially cleared of blame or legal responsibility in a particular case, situation, or proceeding.
-
C.
reasonForOverturningConviction
Indicates the specific grounds or justification that led to a prior conviction being reversed or nullified.
-
D.
dateOfExoneration
Indicates the date on which an entity was officially cleared of blame, guilt, or conviction.
-
E.
provesInnocenceBy
Indicates that one party establishes or demonstrates another party’s lack of guilt through evidence, argument, or legal process.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 28, 2026, 9:51 a.m.