Triple
T128166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristallnacht |
E2594
|
entity |
| Predicate | usedAsPretext |
P4693
|
FINISHED |
| Object | assassination of Ernst vom Rath |
—
|
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: assassination of Ernst vom Rath | Statement: [Kristallnacht, usedAsPretext, assassination of Ernst vom Rath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsPretext Context triple: [Kristallnacht, usedAsPretext, assassination of Ernst vom Rath]
-
A.
pretext
chosen
Indicates that one party uses a stated reason or excuse to conceal their true motive for an action or decision.
-
B.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
D.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
E.
usedPseudonym
Indicates that an entity performed an action or participated in a context under a name that was not their real or primary identity.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25763ccf8819094e8dffb2ff98480 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564da96c8190aa8204de25229c15 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.