Triple
T22825418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werner Scholl |
E565643
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Werner Scholl |
—
|
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: Werner Scholl | Statement: [Werner Scholl, name, Werner Scholl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werner Scholl Context triple: [Werner Scholl, name, Werner Scholl]
-
A.
Werner Scholl
chosen
Werner Scholl was the younger brother of Hans and Sophie Scholl, associated with the White Rose resistance circle in Nazi Germany.
-
B.
Leonhard Tietz
Leonhard Tietz was a German entrepreneur and department store pioneer whose business eventually evolved into the modern retail chain Galeria Kaufhof.
-
C.
Karl Mayer
Karl Mayer is a fictional character from the television series "Desperate Housewives," known as Susan Mayer's ex-husband.
-
D.
Helmut Friedrichs
Helmut Friedrichs was a Nazi Party official who served as a State Secretary in the Party Chancellery under Adolf Hitler’s regime in Germany.
-
E.
Eberhard Klett
Eberhard Klett was an 18th-century German publisher known for issuing Johann Heinrich Lambert’s influential work *Photometria*.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd47ea48190b32b2a7d37d95654 |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:34 p.m.