Triple
T22789193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winterberg |
E564061
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Michael Beckmann
Michael Beckmann is a German local politician who serves as the mayor of the town of Winterberg.
|
E1571757
|
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: Michael Beckmann | Statement: [Winterberg, hasMayor, Michael Beckmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Beckmann Context triple: [Winterberg, hasMayor, Michael Beckmann]
-
A.
Michael Beckmann
Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
-
B.
Michael Menzel
Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
-
C.
John Becker
John Becker is a fictional, gruff but caring Bronx doctor portrayed by Ted Danson in the American television sitcom "Becker."
-
D.
Eric Pohlmann
Eric Pohlmann was an Austrian-born character actor best known for providing the original voice of the villain Ernst Stavro Blofeld in the early James Bond films.
-
E.
Ben Becker
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
- 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: Michael Beckmann Triple: [Winterberg, hasMayor, Michael Beckmann]
Generated description
Michael Beckmann is a German local politician who serves as the mayor of the town of Winterberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Beckmann Target entity description: Michael Beckmann is a German local politician who serves as the mayor of the town of Winterberg.
-
A.
Michael Beckmann
Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
-
B.
Michael Menzel
Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
-
C.
John Becker
John Becker is a fictional, gruff but caring Bronx doctor portrayed by Ted Danson in the American television sitcom "Becker."
-
D.
Eric Pohlmann
Eric Pohlmann was an Austrian-born character actor best known for providing the original voice of the villain Ernst Stavro Blofeld in the early James Bond films.
-
E.
Ben Becker
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c33be7c8190ad22391a85fa000d |
completed | April 29, 2026, 3:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23ce77e8819098246b0b588d7f52 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271d8fc48190a818c73660218022 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c2951a718819088c1c7d8435586ec |
completed | May 19, 2026, 9:11 a.m. |
Created at: April 17, 2026, 3:29 p.m.