Triple
T18204583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ViT |
E435871
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object |
Dirk Weissenborn
Dirk Weissenborn is a computer vision and machine learning researcher known for co-introducing the Vision Transformer (ViT) architecture.
|
E1316461
|
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: Dirk Weissenborn | Statement: [ViT, introducedBy, Dirk Weissenborn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirk Weissenborn Context triple: [ViT, introducedBy, Dirk Weissenborn]
-
A.
Karsten Mußler
Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
-
B.
Holger Schwenk
Holger Schwenk is a computer scientist and researcher known for his influential work in neural machine translation and language modeling, including early contributions to RNN-based encoder–decoder architectures.
-
C.
Philipp Blaubach
Philipp Blaubach is a cinematographer known for his work on feature films such as the 2008 thriller "The Escapist."
-
D.
Christian Schenk
Christian Schenk is a software developer best known as the creator and maintainer of the MiKTeX TeX/LaTeX distribution for Windows and other platforms.
-
E.
Hannes Messemer
Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
- 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: Dirk Weissenborn Triple: [ViT, introducedBy, Dirk Weissenborn]
Generated description
Dirk Weissenborn is a computer vision and machine learning researcher known for co-introducing the Vision Transformer (ViT) architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dirk Weissenborn Target entity description: Dirk Weissenborn is a computer vision and machine learning researcher known for co-introducing the Vision Transformer (ViT) architecture.
-
A.
Karsten Mußler
Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
-
B.
Holger Schwenk
Holger Schwenk is a computer scientist and researcher known for his influential work in neural machine translation and language modeling, including early contributions to RNN-based encoder–decoder architectures.
-
C.
Philipp Blaubach
Philipp Blaubach is a cinematographer known for his work on feature films such as the 2008 thriller "The Escapist."
-
D.
Christian Schenk
Christian Schenk is a software developer best known as the creator and maintainer of the MiKTeX TeX/LaTeX distribution for Windows and other platforms.
-
E.
Hannes Messemer
Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb46f9048190b5d95b32e1a92703 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bbe8e5148190ac3f0c247455cac0 |
completed | May 12, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bc66f81c8190bd47405d92e6547e |
completed | May 12, 2026, 11:48 p.m. |
Created at: April 10, 2026, 10:32 a.m.