Triple
T20734949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef von Leeb |
E509674
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | von Leeb |
—
|
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: von Leeb | Statement: [Josef von Leeb, familyName, von Leeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Leeb Context triple: [Josef von Leeb, familyName, von Leeb]
-
A.
von Leeb
chosen
Von Leeb is the surname of Wilhelm von Leeb, a German field marshal who served as a senior commander in the Wehrmacht during World War II.
-
B.
von Reibnitz
Von Reibnitz is a German noble family name historically associated with baronial lineage.
-
C.
Karl Leeb
Karl Leeb is an Austrian mechanical engineer and professor known for his contributions to manufacturing technology and machine tools.
-
D.
von Schlebrügge
von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
-
E.
Anton Leeb
Anton Leeb is an individual notable enough to be recognized as a prominent bearer of the surname Leeb.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c209348c819084a2f35f36378680 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:31 p.m.