Triple
T13577282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biesenthal |
E324318
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Carsten Bruch
Carsten Bruch is a German local politician who serves as the mayor of the town of Biesenthal in Brandenburg.
|
E1052480
|
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: Carsten Bruch | Statement: [Biesenthal, hasMayor, Carsten Bruch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carsten Bruch Context triple: [Biesenthal, hasMayor, Carsten Bruch]
-
A.
Carsten Kurpanek
Carsten Kurpanek is a film editor known for his work on feature films including the action movie "Rambo: Last Blood."
-
B.
Carsten Norgaard
Carsten Norgaard is a Danish actor known for his roles in international film and television, often appearing in genre and action-oriented projects.
-
C.
Jürgen Marcussen
Jürgen Marcussen was a Danish organ builder best known as the founder of the renowned pipe organ manufacturing firm Marcussen & Søn.
-
D.
Ulrich Thomsen
Ulrich Thomsen is a Danish actor known for his roles in international films such as "Festen," "The World Is Not Enough," and various Hollywood and European productions.
-
E.
Claus-Johannes Voss
Claus-Johannes Voss was a German entrepreneur best known as one of the key figures behind the creation of the luxury writing instrument brand Montblanc.
- 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: Carsten Bruch Triple: [Biesenthal, hasMayor, Carsten Bruch]
Generated description
Carsten Bruch is a German local politician who serves as the mayor of the town of Biesenthal in Brandenburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carsten Bruch Target entity description: Carsten Bruch is a German local politician who serves as the mayor of the town of Biesenthal in Brandenburg.
-
A.
Carsten Kurpanek
Carsten Kurpanek is a film editor known for his work on feature films including the action movie "Rambo: Last Blood."
-
B.
Carsten Norgaard
Carsten Norgaard is a Danish actor known for his roles in international film and television, often appearing in genre and action-oriented projects.
-
C.
Jürgen Marcussen
Jürgen Marcussen was a Danish organ builder best known as the founder of the renowned pipe organ manufacturing firm Marcussen & Søn.
-
D.
Ulrich Thomsen
Ulrich Thomsen is a Danish actor known for his roles in international films such as "Festen," "The World Is Not Enough," and various Hollywood and European productions.
-
E.
Claus-Johannes Voss
Claus-Johannes Voss was a German entrepreneur best known as one of the key figures behind the creation of the luxury writing instrument brand Montblanc.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02de1988190af2d473973ecd529 |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae008788190b3ebc09e73ec4952 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78bd316788190a245e8199f6ac87b |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:48 p.m.