Triple
T6800523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der große Bellheim |
E156173
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Hans Korte
Hans Korte was a German actor known for his extensive work in film, television, and theater, often portraying authoritative and distinguished characters.
|
E620942
|
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: Hans Korte | Statement: [Der große Bellheim, stars, Hans Korte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Korte Context triple: [Der große Bellheim, stars, Hans Korte]
-
A.
Rolf Lohse
Rolf Lohse is a German former sprint canoeist who competed internationally in the 1970s.
-
B.
Heinz Behrens
Heinz Behrens was a German actor best known for his roles in East German film and television productions.
-
C.
Rudolf Schröder
Rudolf Schröder is a notable individual who bears the surname Schröder, recognized for his significance among people with that name.
-
D.
Hans Albers
Hans Albers was a celebrated German film and stage actor and singer, best known as one of the biggest stars of German cinema in the 1930s and 1940s.
-
E.
René Mayer
René Mayer was a French politician who served as Prime Minister of France and later became a leading figure in early European integration 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: Hans Korte Triple: [Der große Bellheim, stars, Hans Korte]
Generated description
Hans Korte was a German actor known for his extensive work in film, television, and theater, often portraying authoritative and distinguished characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hans Korte Target entity description: Hans Korte was a German actor known for his extensive work in film, television, and theater, often portraying authoritative and distinguished characters.
-
A.
Rolf Lohse
Rolf Lohse is a German former sprint canoeist who competed internationally in the 1970s.
-
B.
Heinz Behrens
Heinz Behrens was a German actor best known for his roles in East German film and television productions.
-
C.
Rudolf Schröder
Rudolf Schröder is a notable individual who bears the surname Schröder, recognized for his significance among people with that name.
-
D.
Hans Albers
Hans Albers was a celebrated German film and stage actor and singer, best known as one of the biggest stars of German cinema in the 1930s and 1940s.
-
E.
René Mayer
René Mayer was a French politician who served as Prime Minister of France and later became a leading figure in early European integration 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e457408190a0ad9b0c48d8147c |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723d211508190a31747b2d67ed42e |
completed | March 28, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69c7244c3dcc8190852a26404354e63d |
completed | March 28, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c724d8f3bc819090cf65d6ae0ba1ed |
completed | March 28, 2026, 12:46 a.m. |
Created at: March 27, 2026, 2:15 p.m.