Triple
T19165012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zerbst |
E469155
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Andreas Dittmann
Andreas Dittmann is a German local politician who serves as the mayor of the town of Zerbst.
|
E1402273
|
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: Andreas Dittmann | Statement: [Zerbst, hasMayor, Andreas Dittmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Dittmann Context triple: [Zerbst, hasMayor, Andreas Dittmann]
-
A.
Andreas Zimmermann
Andreas Zimmermann is a German local politician who serves as the mayor of the municipality of Aumühle.
-
B.
Andreas Schmidt
Andreas Schmidt is a relatively common German personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
C.
Markus Wasmeier
Markus Wasmeier is a former German alpine ski racer who became one of the sport’s top competitors in the 1980s and early 1990s, winning multiple World Cup races and Olympic gold medals.
-
D.
Andreas Fuchs
Andreas Fuchs is a German local politician who serves as the mayor of the town of Plattling in Bavaria.
-
E.
Holger Badstuber
Holger Badstuber is a retired German professional footballer best known as a central defender for Bayern Munich and the German national team.
- 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: Andreas Dittmann Triple: [Zerbst, hasMayor, Andreas Dittmann]
Generated description
Andreas Dittmann is a German local politician who serves as the mayor of the town of Zerbst.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andreas Dittmann Target entity description: Andreas Dittmann is a German local politician who serves as the mayor of the town of Zerbst.
-
A.
Andreas Zimmermann
Andreas Zimmermann is a German local politician who serves as the mayor of the municipality of Aumühle.
-
B.
Andreas Schmidt
Andreas Schmidt is a relatively common German personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
C.
Markus Wasmeier
Markus Wasmeier is a former German alpine ski racer who became one of the sport’s top competitors in the 1980s and early 1990s, winning multiple World Cup races and Olympic gold medals.
-
D.
Andreas Fuchs
Andreas Fuchs is a German local politician who serves as the mayor of the town of Plattling in Bavaria.
-
E.
Holger Badstuber
Holger Badstuber is a retired German professional footballer best known as a central defender for Bayern Munich and the German national team.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15e2720819084b1707497db26a2 |
completed | April 20, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6cc6d64819098f294161c69fee2 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f77d1a688190b6156572366efb39 |
completed | May 16, 2026, 4:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f8245a2c8190837696206ec8df95 |
completed | May 16, 2026, 4:52 a.m. |
Created at: April 10, 2026, 12:06 p.m.