Triple
T27679476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiskey Ring scandal |
E697868
|
entity |
| Predicate | numberOfIndictments |
P35608
|
FINISHED |
| Object | over 230 |
—
|
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: over 230 | Statement: [Whiskey Ring scandal, numberOfIndictments, over 230]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIndictments Context triple: [Whiskey Ring scandal, numberOfIndictments, over 230]
-
A.
numberOfIndictedPersonsApproximate
chosen
Indicates an approximate count of persons who have been formally indicted in a given context or case.
-
B.
dateFirstIndictmentsIssued
Indicates the date on which the first formal indictments in a particular case or investigation were officially issued.
-
C.
firstIndictmentIssued
Indicates that an initial formal criminal charge has been officially filed against an entity for the first time in a given case or context.
-
D.
guiltyPleaCount
Indicates the number of times an entity has entered a plea of guilty in legal proceedings.
-
E.
numberOfConvictions
Indicates the count of times an entity has been formally found guilty of an offense.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: April 27, 2026, 2:45 p.m.