Triple
T18116459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Wurzach |
E433616
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Alexandra Scherer
Alexandra Scherer is a German local politician who serves as the mayor of the spa town Bad Wurzach in Baden-Württemberg.
|
E1390584
|
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: Alexandra Scherer | Statement: [Bad Wurzach, hasMayor, Alexandra Scherer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Scherer Context triple: [Bad Wurzach, hasMayor, Alexandra Scherer]
-
A.
Alexandra Christmann
Alexandra Christmann is the former wife of acclaimed British actor Sir Ben Kingsley.
-
B.
Alexandra Henkel
Alexandra Henkel is known as the wife of British actor Adeel Akhtar.
-
C.
Alexandra Boiger
Alexandra Boiger is a German-born illustrator best known for her expressive, character-driven artwork in numerous children's books, including the bestselling "She Persisted" series.
-
D.
Alexandra Seros
Alexandra Seros is a screenwriter best known for her work on action and thriller films in Hollywood.
-
E.
Alexandra Mollwo
Alexandra Mollwo was the wife of English chemist William Henry Perkin, who is renowned for discovering the first synthetic dye, mauveine.
- 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: Alexandra Scherer Triple: [Bad Wurzach, hasMayor, Alexandra Scherer]
Generated description
Alexandra Scherer is a German local politician who serves as the mayor of the spa town Bad Wurzach in Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexandra Scherer Target entity description: Alexandra Scherer is a German local politician who serves as the mayor of the spa town Bad Wurzach in Baden-Württemberg.
-
A.
Alexandra Christmann
Alexandra Christmann is the former wife of acclaimed British actor Sir Ben Kingsley.
-
B.
Alexandra Henkel
Alexandra Henkel is known as the wife of British actor Adeel Akhtar.
-
C.
Alexandra Boiger
Alexandra Boiger is a German-born illustrator best known for her expressive, character-driven artwork in numerous children's books, including the bestselling "She Persisted" series.
-
D.
Alexandra Seros
Alexandra Seros is a screenwriter best known for her work on action and thriller films in Hollywood.
-
E.
Alexandra Mollwo
Alexandra Mollwo was the wife of English chemist William Henry Perkin, who is renowned for discovering the first synthetic dye, mauveine.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd67a2481909d27a4a49b095f8c |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab7834508190b2956eae79663330 |
completed | May 15, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_6a07ac61ea288190916dd5c1bfccf353 |
completed | May 15, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07acacf1688190a10e683dd17c2834 |
completed | May 15, 2026, 11:30 p.m. |
Created at: April 10, 2026, 10:28 a.m.