Triple
T10282613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Til Schweiger |
E241140
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Emma Schweiger
Emma Schweiger is a German-American actress known for appearing in several of her father Til Schweiger’s films, including the popular comedy "Kokowääh."
|
E857479
|
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: Emma Schweiger | Statement: [Til Schweiger, hasChild, Emma Schweiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Schweiger Context triple: [Til Schweiger, hasChild, Emma Schweiger]
-
A.
Luna Schweiger
Luna Schweiger is a German actress and model known for appearing in several films directed by her father, Til Schweiger, including "Keinohrhasen" and its sequels.
-
B.
Lilli Schweiger
Lilli Schweiger is a German actress and model, known for appearing in several films alongside her father, Til Schweiger.
-
C.
Sabine Ganz
Sabine Ganz is known as the spouse of the late Swiss actor Bruno Ganz, acclaimed for his roles in European cinema and theater.
-
D.
Johanna Schall
Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
-
E.
Annette Kurschus
Annette Kurschus is a German Protestant theologian and bishop who has served as a leading figure in the Evangelical Church in Germany.
- 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: Emma Schweiger Triple: [Til Schweiger, hasChild, Emma Schweiger]
Generated description
Emma Schweiger is a German-American actress known for appearing in several of her father Til Schweiger’s films, including the popular comedy "Kokowääh."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Schweiger Target entity description: Emma Schweiger is a German-American actress known for appearing in several of her father Til Schweiger’s films, including the popular comedy "Kokowääh."
-
A.
Luna Schweiger
Luna Schweiger is a German actress and model known for appearing in several films directed by her father, Til Schweiger, including "Keinohrhasen" and its sequels.
-
B.
Lilli Schweiger
Lilli Schweiger is a German actress and model, known for appearing in several films alongside her father, Til Schweiger.
-
C.
Sabine Ganz
Sabine Ganz is known as the spouse of the late Swiss actor Bruno Ganz, acclaimed for his roles in European cinema and theater.
-
D.
Johanna Schall
Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
-
E.
Annette Kurschus
Annette Kurschus is a German Protestant theologian and bishop who has served as a leading figure in the Evangelical Church in Germany.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a22f9881908b220dbe1e80c101 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750097f1c8190a4b04e3758c89aae |
completed | April 9, 2026, 7:06 a.m. |
| NEDg | Description generation | batch_69d7618b0f2481908149596dc86d4593 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77015ae688190870976309e2b912b |
completed | April 9, 2026, 9:23 a.m. |
Created at: April 6, 2026, 11:39 a.m.