Triple
T25597609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron McKinney |
E641695
|
entity |
| Predicate | reasonForAvoidedPenalty |
P166125
|
FINISHED |
| Object | plea agreement to avoid death penalty |
—
|
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: plea agreement to avoid death penalty | Statement: [Aaron McKinney, reasonForAvoidedPenalty, plea agreement to avoid death penalty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForAvoidedPenalty Context triple: [Aaron McKinney, reasonForAvoidedPenalty, plea agreement to avoid death penalty]
-
A.
reasonForPunishment
Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
-
B.
reasonForForfeiture
Indicates the cause or justification that led to something being surrendered, lost, or taken away.
-
C.
pardonReason
Indicates the reason or justification for which a pardon is granted.
-
D.
reasonForDisqualification
Indicates the specific cause or justification for which an entity was deemed ineligible or disqualified from consideration or participation.
-
E.
reasonForSuppression
Indicates the justification or cause for which something (such as information, data, or content) has been withheld, hidden, or prevented from being shown or used.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 21, 2026, 4:28 p.m.