Triple
T19837201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Kamerun campaign |
E476628
|
entity |
| Predicate | commandedBy |
P1407
|
FINISHED |
| Object | Carl Zimmermann |
—
|
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: Carl Zimmermann | Statement: [German Kamerun campaign, commandedBy, Carl Zimmermann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Zimmermann Context triple: [German Kamerun campaign, commandedBy, Carl Zimmermann]
-
A.
Carl Zimmermann
chosen
Carl Zimmermann was a German military officer known for his command role in Germany’s operations during the World War I Cameroons campaign in Africa.
-
B.
Carl Mueller
Carl Mueller is a character in the 1991 horror film "Sometimes They Come Back," which is based on a Stephen King short story.
-
C.
Paul Zimmerer
Paul Zimmerer was an American entrepreneur best known as the founder of Lindsay Corporation, a major manufacturer of agricultural irrigation and infrastructure equipment.
-
D.
Carl Thiel
Carl Thiel is a film and television composer known for his work on genre projects including the series adaptation of "From Dusk Till Dawn."
-
E.
William Diehl
William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65802f57081909e4e94694684bda4 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:50 p.m.