Triple

T16961363
Position Surface form Disambiguated ID Type / Status
Subject Karin Baumüller-Söder E411435 entity
Predicate familyName P18 FINISHED
Object Baumüller-Söder
Baumüller-Söder is a German surname most notably associated with Karin Baumüller-Söder, a German businesswoman and the wife of Bavarian Minister-President Markus Söder.
E1243713 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: Baumüller-Söder | Statement: [Karin Baumüller-Söder, familyName, Baumüller-Söder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baumüller-Söder
Context triple: [Karin Baumüller-Söder, familyName, Baumüller-Söder]
  • A. Udenhausen
    Udenhausen is a district of the town of Boppard in the Rhineland-Palatinate region of western Germany.
  • B. Hammarberg
    Hammarberg is a Swedish surname most notably associated with human rights advocate and former Council of Europe Commissioner for Human Rights Thomas Hammarberg.
  • C. Büderich
    Büderich is a locality that forms part of the town of Enger in the German state of North Rhine-Westphalia.
  • D. Röttgen
    Röttgen is a German surname, notably borne by Auguste van Pels before her marriage.
  • E. Mölders
    Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
  • 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: Baumüller-Söder
Triple: [Karin Baumüller-Söder, familyName, Baumüller-Söder]
Generated description
Baumüller-Söder is a German surname most notably associated with Karin Baumüller-Söder, a German businesswoman and the wife of Bavarian Minister-President Markus Söder.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baumüller-Söder
Target entity description: Baumüller-Söder is a German surname most notably associated with Karin Baumüller-Söder, a German businesswoman and the wife of Bavarian Minister-President Markus Söder.
  • A. Udenhausen
    Udenhausen is a district of the town of Boppard in the Rhineland-Palatinate region of western Germany.
  • B. Hammarberg
    Hammarberg is a Swedish surname most notably associated with human rights advocate and former Council of Europe Commissioner for Human Rights Thomas Hammarberg.
  • C. Büderich
    Büderich is a locality that forms part of the town of Enger in the German state of North Rhine-Westphalia.
  • D. Röttgen
    Röttgen is a German surname, notably borne by Auguste van Pels before her marriage.
  • E. Mölders
    Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0209a9081909d9c62456bc16e14 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d5f5f0448190be407979539fcd80 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d6e1add481908cce9048e3746e7c completed May 10, 2026, 7:05 p.m.
Created at: April 10, 2026, 5:31 a.m.