Triple
T15064389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Wittmann |
E379717
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wittmann |
E379717
|
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: Wittmann | Statement: [Michael Wittmann, familyName, Wittmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wittmann Context triple: [Michael Wittmann, familyName, Wittmann]
-
A.
Wittmann
chosen
Wittmann is a German surname borne by various notable individuals across fields such as military history, sports, and academia.
-
B.
Olkmar Fichtner
Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
-
C.
Mölders
Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
-
D.
Marcel Weber
Marcel Weber is a personal name shared by multiple individuals, most commonly of German-speaking or Swiss origin, and may refer to various figures in fields such as sports, academia, or the arts.
-
E.
Armin Schenk
Armin Schenk is a German local politician who serves as the mayor of the town of Bitterfeld-Wolfen in Saxony-Anhalt.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c8b3ac8190b8fc921b6e6eeed5 |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.