Triple
T12850137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günther von Kluge |
E307289
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | von Kluge |
E307289
|
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 Kluge | Statement: [Günther von Kluge, familyName, von Kluge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Kluge Context triple: [Günther von Kluge, familyName, von Kluge]
-
A.
von Kluge
chosen
Von Kluge is a German noble family name most prominently associated with Field Marshal Günther von Kluge, a senior commander in the Wehrmacht during World War II.
-
B.
von Kühlmann
von Kühlmann is the surname of Richard von Kühlmann, a German diplomat and politician who served as State Secretary for Foreign Affairs during World War I.
-
C.
von Bock
Von Bock is a German noble surname most prominently associated with Fedor von Bock, a senior Wehrmacht field marshal during World War II.
-
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.
von Kühn
von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9701fe684819084582d1b4c809429 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba5059c81908be3b8b371518f41 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:36 p.m.