Triple
T21303662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Zerbe |
E525133
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Karl Zerbe |
—
|
NE NERFINISHED |
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: Karl Zerbe | Statement: [Karl Zerbe, name, Karl Zerbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Zerbe Context triple: [Karl Zerbe, name, Karl Zerbe]
-
A.
Karl Zerbe
chosen
Karl Zerbe was a German-born American painter and influential teacher known for his role in the Boston Expressionist movement and his long tenure at the School of the Museum of Fine Arts in Boston.
-
B.
Karl Hubbuch
Karl Hubbuch was a German painter and graphic artist associated with the New Objectivity movement, known for his socially critical, realist depictions of Weimar-era urban life.
-
C.
Karl Eberding
Karl Eberding was a German military commander during World War II, known for leading German forces in the defense of Walcheren in 1944.
-
D.
Günther Michels
Günther Michels is a person notable enough to be specifically cited as a bearer of the surname Michels.
-
E.
Karl Senger
Karl Senger is a relatively obscure individual known primarily for sharing the surname Senger, with no widely documented public achievements or biographical details.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385da340819083c07f353f2142b0 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.