Triple

T5077914
Position Surface form Disambiguated ID Type / Status
Subject Königsbronn E114442 entity
Predicate hasMayor P185 FINISHED
Object Michael Stütz
Michael Stütz is a German local politician who serves as the mayor of the municipality of Königsbronn in Baden-Württemberg.
E500645 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: Michael Stütz | Statement: [Königsbronn, hasMayor, Michael Stütz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Stütz
Context triple: [Königsbronn, hasMayor, Michael Stütz]
  • A. Marc Streitenfeld
    Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
  • B. Max Sollmann
    Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
  • C. Martin Sauer
    Martin Sauer is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • D. Dennis Weilmann
    Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
  • E. Jochen Kuttler
    Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
  • 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: Michael Stütz
Triple: [Königsbronn, hasMayor, Michael Stütz]
Generated description
Michael Stütz is a German local politician who serves as the mayor of the municipality of Königsbronn in Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Stütz
Target entity description: Michael Stütz is a German local politician who serves as the mayor of the municipality of Königsbronn in Baden-Württemberg.
  • A. Marc Streitenfeld
    Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
  • B. Max Sollmann
    Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
  • C. Martin Sauer
    Martin Sauer is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • D. Dennis Weilmann
    Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
  • E. Jochen Kuttler
    Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f632788190ac4fd047e1a20485 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee06486c481908e11dc53875ee31b completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee4c74ff08190b4ffa0e802112e49 completed March 21, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69bee4e6d0448190a524c2e20d29c730 completed March 21, 2026, 6:35 p.m.
Created at: March 20, 2026, 1:39 p.m.