Triple
T10738629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Männerpension |
E253260
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Peter Franke
Peter Franke is a German actor known for his roles in film, television, and theater.
|
E888897
|
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: Peter Franke | Statement: [Männerpension, hasCastMember, Peter Franke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Franke Context triple: [Männerpension, hasCastMember, Peter Franke]
-
A.
Victor Franke
Victor Franke was a German military officer best known for leading colonial forces in German South-West Africa during the early 20th century.
-
B.
Peter Fuchs
Peter Fuchs is a notable individual who shares the surname Fuchs, recognized enough to be specifically distinguished among its bearers.
-
C.
Kurt Diebner
Kurt Diebner was a German physicist who played a leading organizational role in Nazi Germany’s nuclear energy project during World War II.
-
D.
Michael Lichtefeld
Michael Lichtefeld is a theater choreographer best known for his work on major Broadway musicals, including the 1991 production of *The Secret Garden*.
-
E.
Luc Hoffmann
Luc Hoffmann was a Swiss ornithologist, conservationist, and philanthropist who co-founded the World Wildlife Fund and played a major role in international nature conservation efforts.
- 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: Peter Franke Triple: [Männerpension, hasCastMember, Peter Franke]
Generated description
Peter Franke is a German actor known for his roles in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Franke Target entity description: Peter Franke is a German actor known for his roles in film, television, and theater.
-
A.
Victor Franke
Victor Franke was a German military officer best known for leading colonial forces in German South-West Africa during the early 20th century.
-
B.
Peter Fuchs
Peter Fuchs is a notable individual who shares the surname Fuchs, recognized enough to be specifically distinguished among its bearers.
-
C.
Kurt Diebner
Kurt Diebner was a German physicist who played a leading organizational role in Nazi Germany’s nuclear energy project during World War II.
-
D.
Michael Lichtefeld
Michael Lichtefeld is a theater choreographer best known for his work on major Broadway musicals, including the 1991 production of *The Secret Garden*.
-
E.
Luc Hoffmann
Luc Hoffmann was a Swiss ornithologist, conservationist, and philanthropist who co-founded the World Wildlife Fund and played a major role in international nature conservation efforts.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710424d8c81908ee9b59d622f2af5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0a03a1481908edb933b1613a027 |
completed | April 14, 2026, 9:24 p.m. |
| NEDg | Description generation | batch_69deb6942054819098cb119c6bf7b3c7 |
completed | April 14, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec259680c819087f14189042ec190 |
completed | April 14, 2026, 10:40 p.m. |
Created at: April 8, 2026, 9:14 p.m.