Triple
T31210929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Schniewind |
E795738
|
entity |
| Predicate | trialAftermath |
P47971
|
FINISHED |
| Object | acquitted of war crimes charges in the High Command Trial |
—
|
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: acquitted of war crimes charges in the High Command Trial | Statement: [Otto Schniewind, trialAftermath, acquitted of war crimes charges in the High Command Trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trialAftermath Context triple: [Otto Schniewind, trialAftermath, acquitted of war crimes charges in the High Command Trial]
-
A.
trialAfter
Indicates that one trial or legal proceeding occurs subsequent to another in time or sequence.
-
B.
trialAfterFire
Indicates that a legal trial or judicial proceeding occurs subsequent to a fire-related incident.
-
C.
outcomeOfTrial
chosen
Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
-
D.
aftermathOf
Indicates that one event, state, or condition occurs as a consequence or result following another event.
-
E.
aftermathActivity
Indicates the activity or state that occurs as a direct consequence of, or in response to, a preceding event or situation.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c27f0bc8190b2da3a8b9791271a |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:09 p.m.