Triple
T9751630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutschland 86 |
E236454
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Sonja Gerhardt
Sonja Gerhardt is a German actress known for her roles in film and television, particularly in historical and drama series.
|
E835581
|
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: Sonja Gerhardt | Statement: [Deutschland 86, stars, Sonja Gerhardt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonja Gerhardt Context triple: [Deutschland 86, stars, Sonja Gerhardt]
-
A.
Sonja Jürgens
Sonja Jürgens is known primarily as a daughter of the famous Austrian composer and singer Udo Jürgens.
-
B.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
-
C.
Johanna Schall
Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
-
D.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
-
E.
Lissy Gerhardt
Lissy Gerhardt is a fictional character known primarily as the daughter of Marine Gunnery Sergeant Mack Gerhardt in the military drama series "Over There."
- 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: Sonja Gerhardt Triple: [Deutschland 86, stars, Sonja Gerhardt]
Generated description
Sonja Gerhardt is a German actress known for her roles in film and television, particularly in historical and drama series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonja Gerhardt Target entity description: Sonja Gerhardt is a German actress known for her roles in film and television, particularly in historical and drama series.
-
A.
Sonja Jürgens
Sonja Jürgens is known primarily as a daughter of the famous Austrian composer and singer Udo Jürgens.
-
B.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
-
C.
Johanna Schall
Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
-
D.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
-
E.
Lissy Gerhardt
Lissy Gerhardt is a fictional character known primarily as the daughter of Marine Gunnery Sergeant Mack Gerhardt in the military drama series "Over There."
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2699ec50481908d83d3d22e102fb2 |
completed | April 5, 2026, 1:54 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:24 p.m.