Triple
T17252667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuppenheim |
E418794
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Karsten Mußler
Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
|
E1308769
|
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: Karsten Mußler | Statement: [Kuppenheim, hasMayor, Karsten Mußler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karsten Mußler Context triple: [Kuppenheim, hasMayor, Karsten Mußler]
-
A.
Paul Rößler
Paul Rößler was an influential art and design educator associated with the Kunstgewerbeschule Dresden, known for shaping the training of applied artists in early 20th-century Germany.
-
B.
Ralf Möller
Ralf Möller is a German local politician who serves as the mayor of the town of Weiterstadt in the state of Hesse.
-
C.
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
D.
Falk Hentschel
Falk Hentschel is a German actor and dancer known for roles in film and television, including appearances in dance-focused movies and superhero TV series.
-
E.
Hannes Messemer
Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
- 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: Karsten Mußler Triple: [Kuppenheim, hasMayor, Karsten Mußler]
Generated description
Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karsten Mußler Target entity description: Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
-
A.
Paul Rößler
Paul Rößler was an influential art and design educator associated with the Kunstgewerbeschule Dresden, known for shaping the training of applied artists in early 20th-century Germany.
-
B.
Ralf Möller
Ralf Möller is a German local politician who serves as the mayor of the town of Weiterstadt in the state of Hesse.
-
C.
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
D.
Falk Hentschel
Falk Hentschel is a German actor and dancer known for roles in film and television, including appearances in dance-focused movies and superhero TV series.
-
E.
Hannes Messemer
Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6a1b648190a8bb2deb67bbdfdc |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03852d4f988190aa778537ab9e3b9e |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a038a9d02d48190b337f6f611fc6840 |
completed | May 12, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a038b2720548190baaafbc022f36163 |
completed | May 12, 2026, 8:18 p.m. |
Created at: April 10, 2026, 5:39 a.m.