Triple
T7386848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauter |
E170402
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Christian Sauter
Christian Sauter is a German politician known for serving as a member of the Bundestag representing the Free Democratic Party (FDP).
|
E660904
|
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: Christian Sauter | Statement: [Sauter, hasNotableBearer, Christian Sauter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Sauter Context triple: [Sauter, hasNotableBearer, Christian Sauter]
-
A.
Michael Amherdt
Michael Amherdt is a mountaineer known for making the first recorded ascent of the Swiss Alpine peak Fletschhorn.
-
B.
Christian Jank
Christian Jank was a 19th-century German theatrical set designer and painter whose romantic, fantastical concepts heavily shaped the fairy-tale appearance of Neuschwanstein Castle.
-
C.
Ulrich Schnauss
Ulrich Schnauss is a German electronic musician and producer known for his atmospheric, shoegaze-influenced ambient and downtempo compositions.
-
D.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
E.
Christoph Sauer
Christoph Sauer was an 18th-century German-American printer and publisher known for producing one of the earliest German-language Bibles in North America.
- 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: Christian Sauter Triple: [Sauter, hasNotableBearer, Christian Sauter]
Generated description
Christian Sauter is a German politician known for serving as a member of the Bundestag representing the Free Democratic Party (FDP).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Sauter Target entity description: Christian Sauter is a German politician known for serving as a member of the Bundestag representing the Free Democratic Party (FDP).
-
A.
Michael Amherdt
Michael Amherdt is a mountaineer known for making the first recorded ascent of the Swiss Alpine peak Fletschhorn.
-
B.
Christian Jank
Christian Jank was a 19th-century German theatrical set designer and painter whose romantic, fantastical concepts heavily shaped the fairy-tale appearance of Neuschwanstein Castle.
-
C.
Ulrich Schnauss
Ulrich Schnauss is a German electronic musician and producer known for his atmospheric, shoegaze-influenced ambient and downtempo compositions.
-
D.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
E.
Christoph Sauer
Christoph Sauer was an 18th-century German-American printer and publisher known for producing one of the earliest German-language Bibles in North America.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f2bac481908ac74069182a4ce4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e56fb48190976612d2a94d6ee5 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803707cec8190bb474c959ef93d48 |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803ed9ec4819090a9481954060769 |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:08 p.m.