Triple
T5074322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 18th Army |
E114355
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Theodor Busse |
E658999
|
NE 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: Theodor Busse | Statement: [18th Army, commander, Theodor Busse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theodor Busse Context triple: [18th Army, commander, Theodor Busse]
-
A.
Theodor Busse
chosen
Theodor Busse was a German Wehrmacht general during World War II, best known for commanding the 9th Army in the final stages of the war on the Eastern Front.
-
B.
Wilhelm Schäfer
Wilhelm Schäfer is a prominent computer scientist known for his influential contributions to software engineering research.
-
C.
Theodor Duesterberg
Theodor Duesterberg was a German nationalist politician and co-leader of the Stahlhelm paramilitary organization who ran unsuccessfully for president in the 1932 German election.
-
D.
Ernst Göhner
Ernst Göhner was a prominent Swiss entrepreneur and industrialist known for building a major construction and real estate empire and for his significant philanthropic legacy.
-
E.
Theodor Dorsten
Theodor Dorsten was a 16th-century German physician and botanist known for his contributions to early modern plant taxonomy and herbal studies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d0be1c819081b26235fe602a30 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018324bf88190bcd2bf168b1065d3 |
completed | April 28, 2026, 2:15 a.m. |
Created at: March 20, 2026, 1:39 p.m.