Triple
T23293032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stühlingen |
E590085
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Sabine Kröger
Sabine Kröger is a German local politician who serves as the mayor of the town of Stühlingen in Baden-Württemberg.
|
E1582132
|
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: Sabine Kröger | Statement: [Stühlingen, mayor, Sabine Kröger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabine Kröger Context triple: [Stühlingen, mayor, Sabine Kröger]
-
A.
Sabine Völker
Sabine Völker is a German speed skater known for winning an Olympic bronze medal in the 500 m event at the 2002 Winter Games.
-
B.
Birgit Kroencke
Birgit Kroencke is a Danish former model and painter best known as the longtime wife of British actor Christopher Lee.
-
C.
Birgit Menzel
Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
-
D.
Sabine Bergmann-Pohl
Sabine Bergmann-Pohl is a German physician and politician best known as the last head of state of the German Democratic Republic during its reunification with West Germany.
-
E.
Elisabeth Röckel
Elisabeth Röckel was a 19th-century German soprano closely associated with the Viennese musical scene and figures such as Beethoven and her husband, composer Johann Nepomuk Hummel.
- 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: Sabine Kröger Triple: [Stühlingen, mayor, Sabine Kröger]
Generated description
Sabine Kröger is a German local politician who serves as the mayor of the town of Stühlingen in Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sabine Kröger Target entity description: Sabine Kröger is a German local politician who serves as the mayor of the town of Stühlingen in Baden-Württemberg.
-
A.
Sabine Völker
Sabine Völker is a German speed skater known for winning an Olympic bronze medal in the 500 m event at the 2002 Winter Games.
-
B.
Birgit Kroencke
Birgit Kroencke is a Danish former model and painter best known as the longtime wife of British actor Christopher Lee.
-
C.
Birgit Menzel
Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
-
D.
Sabine Bergmann-Pohl
Sabine Bergmann-Pohl is a German physician and politician best known as the last head of state of the German Democratic Republic during its reunification with West Germany.
-
E.
Elisabeth Röckel
Elisabeth Röckel was a 19th-century German soprano closely associated with the Viennese musical scene and figures such as Beethoven and her husband, composer Johann Nepomuk Hummel.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dbe95588190b637996b10c84304 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5e6aa3e48190874573d0f80f2093 |
completed | May 19, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5eef81e48190b62da26fb8d65223 |
completed | May 19, 2026, 1 p.m. |
Created at: April 17, 2026, 5:02 p.m.