Triple
T13850456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burkhard Christoph von Münnich |
E332922
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Burkhard Christoph |
E625950
|
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: Burkhard Christoph | Statement: [Burkhard Christoph von Münnich, givenName, Burkhard Christoph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burkhard Christoph Context triple: [Burkhard Christoph von Münnich, givenName, Burkhard Christoph]
-
A.
Burkhard
chosen
Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
-
B.
Rolf Sattler
Rolf Sattler is a Canadian plant morphologist and theoretical biologist known for his work on plant structure, process morphology, and the philosophy of biology.
-
C.
Balthasar Russow
Balthasar Russow is a 16th-century Livonian chronicler and clergyman, best known for his detailed account of the Livonian War and life in the Baltic region.
-
D.
Erich Roland
Erich Roland is a cinematographer known for his work on the documentary film "He Named Me Malala."
-
E.
Wolfram von Soden
Wolfram von Soden was a German Assyriologist renowned for his influential work on Akkadian lexicography and the history of ancient Mesopotamia.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02d8fb788190baef7537be2baecb |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f35ba48190b8b071679251233f |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.