Triple
T18129285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wladimir Köppen |
E433965
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marie Köppen
Marie Köppen was the wife of renowned Russian-German climatologist Wladimir Köppen.
|
E1309346
|
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: Marie Köppen | Statement: [Wladimir Köppen, spouse, Marie Köppen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Köppen Context triple: [Wladimir Köppen, spouse, Marie Köppen]
-
A.
Wolfgang Koeppen
Wolfgang Koeppen was a prominent 20th-century German novelist known for his psychologically rich, stylistically innovative works that critically examined postwar German society.
-
B.
Karla von Mohl
Karla von Mohl was the wife of renowned German physician and physicist Hermann von Helmholtz and a member of the distinguished von Mohl family.
-
C.
Luise Giesebrecht
Luise Giesebrecht was a 19th-century German woman known primarily as the mother of the historian Friedrich Wilhelm von Giesebrecht.
-
D.
Theodor Krafft
Theodor Krafft is a person notable enough to be recognized as a significant bearer of the surname Krafft.
-
E.
Ursula Maria Martius
Ursula Maria Martius, better known as Ursula Franklin, was a German-Canadian physicist, metallurgist, and pacifist renowned for her work in materials science and her influential writings on technology and society.
- 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: Marie Köppen Triple: [Wladimir Köppen, spouse, Marie Köppen]
Generated description
Marie Köppen was the wife of renowned Russian-German climatologist Wladimir Köppen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marie Köppen Target entity description: Marie Köppen was the wife of renowned Russian-German climatologist Wladimir Köppen.
-
A.
Wolfgang Koeppen
Wolfgang Koeppen was a prominent 20th-century German novelist known for his psychologically rich, stylistically innovative works that critically examined postwar German society.
-
B.
Karla von Mohl
Karla von Mohl was the wife of renowned German physician and physicist Hermann von Helmholtz and a member of the distinguished von Mohl family.
-
C.
Luise Giesebrecht
Luise Giesebrecht was a 19th-century German woman known primarily as the mother of the historian Friedrich Wilhelm von Giesebrecht.
-
D.
Theodor Krafft
Theodor Krafft is a person notable enough to be recognized as a significant bearer of the surname Krafft.
-
E.
Ursula Maria Martius
Ursula Maria Martius, better known as Ursula Franklin, was a German-Canadian physicist, metallurgist, and pacifist renowned for her work in materials science and her influential writings on technology and society.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf11a74819094e8fe8dae4615bb |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fb0707881908ac8493701abb034 |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a0390db2e748190a5f2930d26fe76e7 |
completed | May 12, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0391978d7881909fac2b8dd3526bbe |
completed | May 12, 2026, 8:46 p.m. |
Created at: April 10, 2026, 10:29 a.m.