Triple
T2533186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Edward Snowden |
E56208
|
entity |
| Predicate | yearOfIndictment |
P35638
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [United States v. Edward Snowden, yearOfIndictment, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfIndictment Context triple: [United States v. Edward Snowden, yearOfIndictment, 2013]
-
A.
dateFirstIndictmentsIssued
Indicates the date on which the first formal indictments in a particular case or investigation were officially issued.
-
B.
firstIndictmentIssued
chosen
Indicates that an initial formal criminal charge has been officially filed against an entity for the first time in a given case or context.
-
C.
convictionYear
Indicates the calendar year in which an entity was formally convicted of an offense.
-
D.
dateOfAccusation
Indicates the date on which a formal accusation or charge was made against an entity.
-
E.
dateOfConviction
Indicates the specific calendar date on which a person or entity was 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd27afe7c8190984e10d3f3d5586b |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.