Triple
T4445746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadern |
E96280
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
|
E450553
|
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: Jochen Kuttler | Statement: [Wadern, mayor, Jochen Kuttler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jochen Kuttler Context triple: [Wadern, mayor, Jochen Kuttler]
-
A.
Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
-
B.
Sven Budelmann
Sven Budelmann is a German film editor known for his work on major productions including the 2022 adaptation of "All Quiet on the Western Front."
-
C.
Jochen Nickel
Jochen Nickel is a German actor known for his character roles in films and television, including appearances in notable World War II dramas.
-
D.
Jörg Streitparth
Jörg Streitparth is a German architect best known for his role in designing Berlin’s iconic Fernsehturm (TV Tower), one of the city’s most recognizable landmarks.
-
E.
Johannes Popitz
Johannes Popitz was a German lawyer, conservative politician, and high-ranking finance official who served as Prussian finance minister and later became involved in resistance circles against the Nazi regime.
- 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: Jochen Kuttler Triple: [Wadern, mayor, Jochen Kuttler]
Generated description
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jochen Kuttler Target entity description: Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
A.
Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
-
B.
Sven Budelmann
Sven Budelmann is a German film editor known for his work on major productions including the 2022 adaptation of "All Quiet on the Western Front."
-
C.
Jochen Nickel
Jochen Nickel is a German actor known for his character roles in films and television, including appearances in notable World War II dramas.
-
D.
Jörg Streitparth
Jörg Streitparth is a German architect best known for his role in designing Berlin’s iconic Fernsehturm (TV Tower), one of the city’s most recognizable landmarks.
-
E.
Johannes Popitz
Johannes Popitz was a German lawyer, conservative politician, and high-ranking finance official who served as Prussian finance minister and later became involved in resistance circles against the Nazi regime.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacc9ef8c81909ff2a16cf68844d0 |
completed | March 20, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69bdad757394819091d334c12b660b95 |
completed | March 20, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdadd612a48190b088fe6ac894dbb5 |
completed | March 20, 2026, 8:28 p.m. |
Created at: March 12, 2026, 11:32 p.m.