Triple
T24650641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prussian coup of 1932 |
E610238
|
entity |
| Predicate | installedPerson |
P73466
|
FINISHED |
| Object | Franz von Papen as Reich Commissioner for Prussia |
—
|
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: Franz von Papen as Reich Commissioner for Prussia | Statement: [Prussian coup of 1932, installedPerson, Franz von Papen as Reich Commissioner for Prussia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: installedPerson Context triple: [Prussian coup of 1932, installedPerson, Franz von Papen as Reich Commissioner for Prussia]
-
A.
installedLeader
chosen
Indicates that one entity has placed or appointed another entity into a leadership position, typically exerting control or influence over that leader’s authority or role.
-
B.
installedNear
Indicates that one entity is installed in physical proximity to another entity, typically within a short, functionally relevant distance.
-
C.
installedBy
Indicates that one entity was set up, put in place, or made operational through the actions or intervention of another entity.
-
D.
servicePerson
Indicates that one entity performs a service or provides assistance to another entity.
-
E.
installedFor
Indicates that something has been set up or put in place to be used by or on behalf of a particular entity.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.