Triple

T16409717
Position Surface form Disambiguated ID Type / Status
Subject Albrecht Schuch E398527 entity
Predicate hasSibling P363 FINISHED
Object Karoline Schuch
Karoline Schuch is a German actress known for her roles in film and television dramas.
E1212727 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: Karoline Schuch | Statement: [Albrecht Schuch, hasSibling, Karoline Schuch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karoline Schuch
Context triple: [Albrecht Schuch, hasSibling, Karoline Schuch]
  • A. Heidi von Palleske
    Heidi von Palleske is a Canadian actress and writer best known for her role in David Cronenberg’s psychological horror film "Dead Ringers."
  • B. Johanna Schall
    Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
  • C. Caroline Böhmer
    Caroline Böhmer, better known as Caroline Schelling, was a prominent German intellectual and literary figure of the late 18th and early 19th centuries, closely associated with the Jena Romantic circle.
  • D. Maeby Fünke
    Maeby Fünke is a sarcastic, rebellious teenage member of the dysfunctional Bluth family in the television sitcom "Arrested Development."
  • E. Anne-Maria Fehn
    Anne-Maria Fehn is a linguist known for her work on the Kxʼa family of southern African languages, including helping to establish and name the group.
  • 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: Karoline Schuch
Triple: [Albrecht Schuch, hasSibling, Karoline Schuch]
Generated description
Karoline Schuch is a German actress known for her roles in film and television dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karoline Schuch
Target entity description: Karoline Schuch is a German actress known for her roles in film and television dramas.
  • A. Heidi von Palleske
    Heidi von Palleske is a Canadian actress and writer best known for her role in David Cronenberg’s psychological horror film "Dead Ringers."
  • B. Johanna Schall
    Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
  • C. Caroline Böhmer
    Caroline Böhmer, better known as Caroline Schelling, was a prominent German intellectual and literary figure of the late 18th and early 19th centuries, closely associated with the Jena Romantic circle.
  • D. Maeby Fünke
    Maeby Fünke is a sarcastic, rebellious teenage member of the dysfunctional Bluth family in the television sitcom "Arrested Development."
  • E. Anne-Maria Fehn
    Anne-Maria Fehn is a linguist known for her work on the Kxʼa family of southern African languages, including helping to establish and name the group.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32871bce08190addd637413473c87 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457d9f4081908a5f28eeafc44695 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00469f5d8081908c21fc30dcb5d5b8 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0047322384819082a95f9a6f5a53fc completed May 10, 2026, 8:52 a.m.
Created at: April 10, 2026, 5:09 a.m.