Triple

T10282612
Position Surface form Disambiguated ID Type / Status
Subject Til Schweiger E241140 entity
Predicate hasChild P369 FINISHED
Object Lilli Schweiger
Lilli Schweiger is a German actress and model, known for appearing in several films alongside her father, Til Schweiger.
E854961 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: Lilli Schweiger | Statement: [Til Schweiger, hasChild, Lilli Schweiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilli Schweiger
Context triple: [Til Schweiger, hasChild, Lilli 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. Ursula Paetsch
    Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
  • C. Johanna Schall
    Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
  • D. Maeby Fünke
    Maeby Fünke is a sarcastic, rebellious teenage member of the dysfunctional Bluth family in the television sitcom "Arrested Development."
  • 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: Lilli Schweiger
Triple: [Til Schweiger, hasChild, Lilli Schweiger]
Generated description
Lilli Schweiger is a German actress and model, known for appearing in several films alongside her father, Til Schweiger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lilli Schweiger
Target entity description: Lilli Schweiger is a German actress and model, known for appearing in several films alongside her father, Til 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. Ursula Paetsch
    Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
  • C. Johanna Schall
    Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
  • D. Maeby Fünke
    Maeby Fünke is a sarcastic, rebellious teenage member of the dysfunctional Bluth family in the television sitcom "Arrested Development."
  • 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_69d71d012ae481909633b1333dc88b63 completed April 9, 2026, 3:29 a.m.
NEDg Description generation batch_69d73180d90481908f1b4768230edd36 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7326b14988190bff33dc01e690707 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:39 a.m.