Triple
T16903121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anders Johan von Höpken |
E424488
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | von Höpken |
E424488
|
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 Höpken | Statement: [Anders Johan von Höpken, memberOf, von Höpken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Höpken Context triple: [Anders Johan von Höpken, memberOf, von Höpken]
-
A.
von Höpken
chosen
Von Höpken is the surname of a notable Swedish noble family most prominently associated with the 18th-century statesman Anders Johan von Höpken.
-
B.
von Münnich
von Münnich is the noble German family name of Burkhard Christoph von Münnich, an 18th-century military commander and statesman who served in the Russian Empire.
-
C.
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.
-
D.
von Kühn
von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
-
E.
Meyer-Lübke
Meyer-Lübke is the surname of Wilhelm Meyer-Lübke, a prominent Swiss linguist known for his influential work in Romance philology.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8de3070819085bfe9696bc887ea |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b47a6081909d8609c2bce96d1a |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.