Triple
T25457832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauptmann von Köpenick affair |
E637960
|
entity |
| Predicate | involvedImpersonationOf |
P20150
|
FINISHED |
| Object | Prussian army officer |
—
|
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: Prussian army officer | Statement: [Hauptmann von Köpenick affair, involvedImpersonationOf, Prussian army officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedImpersonationOf Context triple: [Hauptmann von Köpenick affair, involvedImpersonationOf, Prussian army officer]
-
A.
allegedImpostor
Indicates that one entity is claimed or suspected to be fraudulently posing as another entity.
-
B.
disguisedAs
chosen
Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
-
C.
actsOnBehalfOf
Indicates that one entity performs actions or makes decisions as a representative or proxy for another entity.
-
D.
actsInSteadOf
Indicates that one entity performs an action or fulfills a role as a substitute or proxy for another entity.
-
E.
intrudedInto
Indicates that one entity has entered or encroached upon another entity’s space, domain, or context without permission or in an unwelcome manner.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 21, 2026, 2:10 p.m.