Triple

T6751174
Position Surface form Disambiguated ID Type / Status
Subject Mother Courage and Her Children E154342 entity
Predicate mainCharacter P1183 FINISHED
Object Kattrin
Kattrin is a central, mute character in Bertolt Brecht’s play "Mother Courage and Her Children," known for her selfless bravery and tragic sacrifice during the Thirty Years' War.
E616175 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: Kattrin | Statement: [Mother Courage and Her Children, mainCharacter, Kattrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kattrin
Context triple: [Mother Courage and Her Children, mainCharacter, Kattrin]
  • A. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • B. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • C. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • D. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • E. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • 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: Kattrin
Triple: [Mother Courage and Her Children, mainCharacter, Kattrin]
Generated description
Kattrin is a central, mute character in Bertolt Brecht’s play "Mother Courage and Her Children," known for her selfless bravery and tragic sacrifice during the Thirty Years' War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kattrin
Target entity description: Kattrin is a central, mute character in Bertolt Brecht’s play "Mother Courage and Her Children," known for her selfless bravery and tragic sacrifice during the Thirty Years' War.
  • A. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • B. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • C. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • D. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • E. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1dbc3a48190a35df5dad8c630e8 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1a0d7481908a813fa5c2e1ba6e completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c82a2008190b0f5f859687a7de5 completed March 27, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69c70d7e3d748190ace98ad9cb9c425b completed March 27, 2026, 11:06 p.m.
Created at: March 27, 2026, 2:11 p.m.