Triple
T10541157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günther Uecker |
E248697
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Uecker
Uecker is a German surname most prominently associated with Günther Uecker, a renowned contemporary artist known for his nail relief works and contributions to the ZERO movement.
|
E871015
|
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: Uecker | Statement: [Günther Uecker, familyName, Uecker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uecker Context triple: [Günther Uecker, familyName, Uecker]
-
A.
Ecker
Ecker is a river in central Germany that serves as a tributary of the Oker, flowing through the Harz region.
-
B.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
C.
Ehmke
Ehmke is a German-origin surname borne by various notable individuals, including figures in sports, music, and academia.
-
D.
Werneck
Werneck is a market town in the Schweinfurt district of northern Bavaria, Germany, known for its baroque palace and surrounding rural landscape.
-
E.
Elliger
Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
- 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: Uecker Triple: [Günther Uecker, familyName, Uecker]
Generated description
Uecker is a German surname most prominently associated with Günther Uecker, a renowned contemporary artist known for his nail relief works and contributions to the ZERO movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uecker Target entity description: Uecker is a German surname most prominently associated with Günther Uecker, a renowned contemporary artist known for his nail relief works and contributions to the ZERO movement.
-
A.
Ecker
Ecker is a river in central Germany that serves as a tributary of the Oker, flowing through the Harz region.
-
B.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
C.
Ehmke
Ehmke is a German-origin surname borne by various notable individuals, including figures in sports, music, and academia.
-
D.
Werneck
Werneck is a market town in the Schweinfurt district of northern Bavaria, Germany, known for its baroque palace and surrounding rural landscape.
-
E.
Elliger
Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5918648190b16c2d1bc1bf015f |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9341d96c08190a6ba644b9acfe2c8 |
completed | April 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69d93802a4488190aa86ae209650d4e7 |
completed | April 10, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d938fcc3c48190a4acaaf75c1aa304 |
completed | April 10, 2026, 5:53 p.m. |
Created at: April 6, 2026, 12:32 p.m.