Triple
T12502002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dietl |
E298849
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Eduard Dietl |
E61874
|
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: Eduard Dietl | Statement: [Dietl, hasNotableBearer, Eduard Dietl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eduard Dietl Context triple: [Dietl, hasNotableBearer, Eduard Dietl]
-
A.
Eduard Dietl
chosen
Eduard Dietl was a German Wehrmacht general during World War II, noted for his leadership of mountain troops and his prominent role in early Nazi military campaigns.
-
B.
Wilhelm von Leeb
Wilhelm von Leeb was a German field marshal in the Wehrmacht during World War II, best known for leading Army Group North in the invasion of the Soviet Union.
-
C.
Josef von Leeb
Josef von Leeb was a German military officer and the son of Field Marshal Wilhelm von Leeb.
-
D.
Franz Gürtner
Franz Gürtner was a German jurist and politician who served as Minister of Justice under both the Weimar Republic and Nazi regime, playing a key role in providing legal cover for Nazi policies.
-
E.
Oskar von Miller
Oskar von Miller was a German engineer and pioneering museum founder best known for establishing Munich’s Deutsches Museum, one of the world’s leading science and technology museums.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfbb2a48190a231b02cfa990565 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b82189081908deb76cdd4e65245 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 8, 2026, 9:57 p.m.