Triple
T7423930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menzel |
E171320
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Stefan Menzel
Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
|
E681312
|
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: Stefan Menzel | Statement: [Menzel, hasNotableBearer, Stefan Menzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Menzel Context triple: [Menzel, hasNotableBearer, Stefan Menzel]
-
A.
Christoph Menzel
Christoph Menzel is a German physicist known for his research in nanophotonics and metamaterials.
-
B.
Andreas Scholz
Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
-
C.
Thorsten Kornblum
Thorsten Kornblum is a German politician who serves as the mayor of the city of Braunschweig.
-
D.
Andreas Zimmermann
Andreas Zimmermann is a German local politician who serves as the mayor of the municipality of Aumühle.
-
E.
Holger Weise
Holger Weise is a German local politician who serves as the mayor of the municipality of Steinheim am Albuch in Baden-Württemberg.
- 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: Stefan Menzel Triple: [Menzel, hasNotableBearer, Stefan Menzel]
Generated description
Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stefan Menzel Target entity description: Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
-
A.
Christoph Menzel
Christoph Menzel is a German physicist known for his research in nanophotonics and metamaterials.
-
B.
Andreas Scholz
Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
-
C.
Thorsten Kornblum
Thorsten Kornblum is a German politician who serves as the mayor of the city of Braunschweig.
-
D.
Andreas Zimmermann
Andreas Zimmermann is a German local politician who serves as the mayor of the municipality of Aumühle.
-
E.
Holger Weise
Holger Weise is a German local politician who serves as the mayor of the municipality of Steinheim am Albuch in Baden-Württemberg.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a201e73081908cbe64f351e36f77 |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a3a3cc2081909a5a2041cbdbe04f |
completed | March 29, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a4257d9c8190a6b13bc9d5491476 |
completed | March 29, 2026, 4:01 a.m. |
Created at: March 27, 2026, 3:12 p.m.