Triple
T28782785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Denisovich Shukhov |
E726718
|
entity |
| Predicate | imprisonmentReasonInNarrative |
P3353
|
FINISHED |
| Object | alleged treason |
—
|
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: alleged treason | Statement: [Ivan Denisovich Shukhov, imprisonmentReasonInNarrative, alleged treason]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imprisonmentReasonInNarrative Context triple: [Ivan Denisovich Shukhov, imprisonmentReasonInNarrative, alleged treason]
-
A.
imprisonedFor
chosen
Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
-
B.
imprisonmentContext
Indicates that one entity is held in confinement or custody by another entity or authority within a specific legal, temporal, or situational context.
-
C.
hasBeenImprisoned
Indicates that an entity has been confined or incarcerated in a prison or similar detention facility at some point in time.
-
D.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
-
E.
hasReasonForArrest
Indicates that an arrest is associated with a specific reason or cause.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:20 a.m.