Triple
T18670809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSSAH |
E456469
|
entity |
| Predicate | notableCommander |
P1197
|
FINISHED |
| Object | Wilhelm Mohnke |
—
|
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: Wilhelm Mohnke | Statement: [LSSAH, notableCommander, Wilhelm Mohnke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilhelm Mohnke Context triple: [LSSAH, notableCommander, Wilhelm Mohnke]
-
A.
Wilhelm Mohnke
chosen
Wilhelm Mohnke was a senior Waffen-SS officer who commanded units of Hitler’s elite bodyguard division and was among the last defenders of the Führerbunker in Berlin at the end of World War II.
-
B.
Rolf Lammers
Rolf Lammers is a person notable enough to be specifically cited as a bearer of the surname Lammers.
-
C.
Johann Speer
Johann Speer is a person notable enough to be recognized as a bearer of the surname Speer, though specific widely known biographical details about him are not clearly established.
-
D.
Hans Klenk
Hans Klenk was a German racing driver of the early 1950s, best known for competing in sports car and Grand Prix events, including notable races with Mercedes-Benz.
-
E.
Lutz Bornmann
Lutz Bornmann is a German scientometrics and bibliometrics researcher known for his influential work on research evaluation, citation analysis, and science indicators.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b1140c81908002c27a33c03ae2 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:48 a.m.