Triple
T14994363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremen state government |
E373918
|
entity |
| Predicate | hasOfficeHolder |
P537
|
FINISHED |
| Object |
Andreas Bovenschulte
Andreas Bovenschulte is a German politician who serves as the President of the Senate and Mayor of the federal state of Bremen.
|
E1164496
|
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 Bovenschulte | Statement: [Bremen state government, hasOfficeHolder, Andreas Bovenschulte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Bovenschulte Context triple: [Bremen state government, hasOfficeHolder, Andreas Bovenschulte]
-
A.
Markus Knüfken
Markus Knüfken is a German actor known for his roles in film and television since the 1990s.
-
B.
Philipp Demandt
Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
-
C.
Markus Vogt
Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
-
D.
Stefan Butz
Stefan Butz is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Butz.
-
E.
Matthias Kleinheisterkamp
Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
- 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 Bovenschulte Triple: [Bremen state government, hasOfficeHolder, Andreas Bovenschulte]
Generated description
Andreas Bovenschulte is a German politician who serves as the President of the Senate and Mayor of the federal state of Bremen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andreas Bovenschulte Target entity description: Andreas Bovenschulte is a German politician who serves as the President of the Senate and Mayor of the federal state of Bremen.
-
A.
Markus Knüfken
Markus Knüfken is a German actor known for his roles in film and television since the 1990s.
-
B.
Philipp Demandt
Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
-
C.
Markus Vogt
Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
-
D.
Stefan Butz
Stefan Butz is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Butz.
-
E.
Matthias Kleinheisterkamp
Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded716ebb481908224d2d4f7561b03 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2d21348190a8045cf1847396e0 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4cf62a6081909ba4904d599d1f3c |
completed | May 9, 2026, 3:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4d61c16c8190831f894fc224efbc |
completed | May 9, 2026, 3:06 p.m. |
Created at: April 10, 2026, 2:53 a.m.