Triple
T8789852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inning am Ammersee |
E209134
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Michaela Reichelt
Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
|
E769945
|
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: Michaela Reichelt | Statement: [Inning am Ammersee, hasMayor, Michaela Reichelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michaela Reichelt Context triple: [Inning am Ammersee, hasMayor, Michaela Reichelt]
-
A.
Michaela Dorfmeister
Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
-
B.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
-
C.
Anja Lechner
Anja Lechner is a German cellist renowned for her versatile performances spanning classical, contemporary, and world music collaborations.
-
D.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
E.
Julia Jentsch
Julia Jentsch is a German actress acclaimed for her powerful performances in films such as "Sophie Scholl – The Final Days" and numerous other European cinema and television productions.
- 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: Michaela Reichelt Triple: [Inning am Ammersee, hasMayor, Michaela Reichelt]
Generated description
Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michaela Reichelt Target entity description: Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
-
A.
Michaela Dorfmeister
Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
-
B.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
-
C.
Anja Lechner
Anja Lechner is a German cellist renowned for her versatile performances spanning classical, contemporary, and world music collaborations.
-
D.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
E.
Julia Jentsch
Julia Jentsch is a German actress acclaimed for her powerful performances in films such as "Sophie Scholl – The Final Days" and numerous other European cinema and television productions.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8d25f881908863d636fa57a8a2 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc921d3408190a2f823473bf9b4bc |
completed | April 3, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69cfcccaea508190ac9c0b2d2b496c5c |
completed | April 3, 2026, 2:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcd1dd12881909d250c08feeb9fbf |
completed | April 3, 2026, 2:22 p.m. |
Created at: March 30, 2026, 6:43 p.m.