Triple
T21183433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Genzken |
E522010
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Genzken
Genzken is a German surname most notably associated with individuals such as the sculptor and installation artist Isa Genzken and the physician Karl Genzken.
|
E1470042
|
NE FINISHED |
How this triple was built (4 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: Genzken | Statement: [Karl Genzken, familyName, Genzken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genzken Context triple: [Karl Genzken, familyName, Genzken]
-
A.
Zeneggen
Zeneggen is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
-
B.
Gerzen
Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
-
C.
Gunten
Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
-
D.
Gisingen
Gisingen is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
-
E.
Menziken
Menziken is a municipality in the canton of Aargau in Switzerland, known historically for its metalworking and manufacturing industries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Genzken Triple: [Karl Genzken, familyName, Genzken]
Generated description
Genzken is a German surname most notably associated with individuals such as the sculptor and installation artist Isa Genzken and the physician Karl Genzken.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Genzken Target entity description: Genzken is a German surname most notably associated with individuals such as the sculptor and installation artist Isa Genzken and the physician Karl Genzken.
-
A.
Zeneggen
Zeneggen is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
-
B.
Gerzen
Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
-
C.
Gunten
Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
-
D.
Gisingen
Gisingen is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
-
E.
Menziken
Menziken is a municipality in the canton of Aargau in Switzerland, known historically for its metalworking and manufacturing industries.
- F. None of above. chosen
Provenance (5 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301f7f1c81908686866fdee57127 |
completed | April 21, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09757d659881909e41f593417247e5 |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a09769c4d1c8190bf8f53fafc840fa9 |
completed | May 17, 2026, 8:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a097709a4c88190a38d787260599348 |
completed | May 17, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:05 p.m.