Triple
T3782853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schmidt |
E85459
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Werner Schmidt
Werner Schmidt is a relatively common German personal name shared by multiple individuals across various professions, rather than a single widely recognized public figure.
|
E729084
|
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: Werner Schmidt | Statement: [Schmidt, hasNotableBearer, Werner Schmidt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werner Schmidt Context triple: [Schmidt, hasNotableBearer, Werner Schmidt]
-
A.
Erhard Schmidt
Erhard Schmidt was a German mathematician known for his foundational work in functional analysis and the theory of Hilbert spaces.
-
B.
Rudolf Schmidt
Rudolf Schmidt was a German general in the Wehrmacht during World War II who rose to high command on the Eastern Front.
-
C.
Armin Harry Schmidt
Armin Harry Schmidt is a notable individual who is recognized as a prominent bearer of the surname Schmidt.
-
D.
Werner Sauer
Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
-
E.
Hans Wiegel
Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
- 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: Werner Schmidt Triple: [Schmidt, hasNotableBearer, Werner Schmidt]
Generated description
Werner Schmidt is a relatively common German personal name shared by multiple individuals across various professions, rather than a single widely recognized public figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Werner Schmidt Target entity description: Werner Schmidt is a relatively common German personal name shared by multiple individuals across various professions, rather than a single widely recognized public figure.
-
A.
Erhard Schmidt
Erhard Schmidt was a German mathematician known for his foundational work in functional analysis and the theory of Hilbert spaces.
-
B.
Rudolf Schmidt
Rudolf Schmidt was a German general in the Wehrmacht during World War II who rose to high command on the Eastern Front.
-
C.
Armin Harry Schmidt
Armin Harry Schmidt is a notable individual who is recognized as a prominent bearer of the surname Schmidt.
-
D.
Werner Sauer
Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
-
E.
Hans Wiegel
Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3db11108190aa81ee8ed22709fe |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde6789ec081909b051b8ce1bde35d |
completed | April 2, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69cdeb1fa7308190810b1fcc2184374a |
completed | April 2, 2026, 4:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdec3081d88190ad0699f9072d3fc7 |
completed | April 2, 2026, 4:10 a.m. |
Created at: March 9, 2026, 3:13 p.m.