Triple
T9459695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert Kaempfert |
E228111
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kämpfert
Kämpfert is the surname of Bert Kaempfert, a German orchestra leader, composer, and arranger known for his easy listening and jazz-influenced pop music.
|
E801129
|
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: Kämpfert | Statement: [Bert Kaempfert, familyName, Kämpfert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kämpfert Context triple: [Bert Kaempfert, familyName, Kämpfert]
-
A.
Kämpner
Kämpner is a German-language surname, likely a variant of Kempner, borne by individuals of German or Central European origin.
-
B.
Krieger
Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
-
C.
Werdum
Werdum is a small village and tourist destination in East Frisia in northwestern Germany, known for its rural charm and proximity to the North Sea coast.
-
D.
Ringen
Ringen is a station on the Oslo Metro system that serves as a key endpoint for certain metro lines in Norway’s capital.
-
E.
Tjaden
Tjaden is the surname of American actress and singer Janis Paige, known for her work in film, television, and Broadway.
- 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: Kämpfert Triple: [Bert Kaempfert, familyName, Kämpfert]
Generated description
Kämpfert is the surname of Bert Kaempfert, a German orchestra leader, composer, and arranger known for his easy listening and jazz-influenced pop music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kämpfert Target entity description: Kämpfert is the surname of Bert Kaempfert, a German orchestra leader, composer, and arranger known for his easy listening and jazz-influenced pop music.
-
A.
Kämpner
Kämpner is a German-language surname, likely a variant of Kempner, borne by individuals of German or Central European origin.
-
B.
Krieger
Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
-
C.
Werdum
Werdum is a small village and tourist destination in East Frisia in northwestern Germany, known for its rural charm and proximity to the North Sea coast.
-
D.
Ringen
Ringen is a station on the Oslo Metro system that serves as a key endpoint for certain metro lines in Norway’s capital.
-
E.
Tjaden
Tjaden is the surname of American actress and singer Janis Paige, known for her work in film, television, and Broadway.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fc916348190aeb3874a89071677 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122965aa48190bb35202b8dd0fdbd |
completed | April 4, 2026, 2:39 p.m. |
| NEDg | Description generation | batch_69d12474e91c8190b3f127a44fb0f345 |
completed | April 4, 2026, 2:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12521921881909fa14b99c6dd5158 |
completed | April 4, 2026, 2:50 p.m. |
Created at: March 30, 2026, 7:52 p.m.