Triple
T7813192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governing Mayor of Berlin |
E180735
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object |
Kai Wegner
Kai Wegner is a German politician from the Christian Democratic Union (CDU) who serves as the Governing Mayor of Berlin.
|
E694701
|
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: Kai Wegner | Statement: [Governing Mayor of Berlin, officeHoldersInclude, Kai Wegner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kai Wegner Context triple: [Governing Mayor of Berlin, officeHoldersInclude, Kai Wegner]
-
A.
Kai Wiesinger
Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
-
B.
Jan Wagner
Jan Wagner is a contemporary German poet and essayist renowned for his finely crafted, image-rich verse and significant contributions to modern German-language literature.
-
C.
Tim Kiefer
Tim Kiefer is an American composer best known for creating the distinctive, genre-blending musical score for the animated television series "Adventure Time."
-
D.
Michael Weber
Michael Weber is a common personal name shared by numerous individuals across various professions, including academia, sports, and the arts.
-
E.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
- 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: Kai Wegner Triple: [Governing Mayor of Berlin, officeHoldersInclude, Kai Wegner]
Generated description
Kai Wegner is a German politician from the Christian Democratic Union (CDU) who serves as the Governing Mayor of Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kai Wegner Target entity description: Kai Wegner is a German politician from the Christian Democratic Union (CDU) who serves as the Governing Mayor of Berlin.
-
A.
Kai Wiesinger
Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
-
B.
Jan Wagner
Jan Wagner is a contemporary German poet and essayist renowned for his finely crafted, image-rich verse and significant contributions to modern German-language literature.
-
C.
Tim Kiefer
Tim Kiefer is an American composer best known for creating the distinctive, genre-blending musical score for the animated television series "Adventure Time."
-
D.
Michael Weber
Michael Weber is a common personal name shared by numerous individuals across various professions, including academia, sports, and the arts.
-
E.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78f3d6481909841d64117f657e1 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1472ee908190b073819f3dfad8ee |
completed | March 31, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_69cb1732bb608190aa776f23f0dc6189 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a56d25881908b8413b82edf5508 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:38 p.m.