Triple
T13214945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeb |
E314585
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | von Leeb |
E208019
|
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: von Leeb | Statement: [Leeb, hasVariant, von Leeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Leeb Context triple: [Leeb, hasVariant, 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 Schlebrügge
von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
-
C.
Schultheiss
Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
-
D.
Wolfgang Sattler
Wolfgang Sattler is a notable individual who shares the surname Sattler, recognized enough to be specifically identified as a bearer of that name.
-
E.
Emil Leeb
Emil Leeb was a German general in the Wehrmacht during World War II and the younger brother of Field Marshal Wilhelm von Leeb.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1ebf648190a27d11b3dc494446 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:18 p.m.