Triple

T8057609
Position Surface form Disambiguated ID Type / Status
Subject Messkirch E188039 entity
Predicate hasMayor P185 FINISHED
Object Arne Zwick
Arne Zwick is a German local politician who serves as the mayor of the town of Meßkirch in Baden-Württemberg.
 E707131 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: Arne Zwick | Statement: [Messkirch, hasMayor, Arne Zwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arne Zwick
Context triple: [Messkirch, hasMayor, Arne Zwick]
  • A. Fred Herzog
    Fred Herzog was a silent film actor active in the 1920s, known for appearing in early American cinema productions.
  • B. John Werner Cahn
    John Werner Cahn was an influential American materials scientist and physicist known for his pioneering work on phase transformations and the thermodynamics of microstructural evolution in solids.
  • C. Louis Kraemer
    Louis Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
  • D. John Stahl
    John Stahl was a Scottish actor known for his work in theatre, television, and film, including roles in productions such as the National Theatre's "Frankenstein" and the TV series "Game of Thrones."
  • E. Paul Hirsch
    Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
  • 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: Arne Zwick
Triple: [Messkirch, hasMayor, Arne Zwick]
Generated description
Arne Zwick is a German local politician who serves as the mayor of the town of Meßkirch in Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arne Zwick
Target entity description: Arne Zwick is a German local politician who serves as the mayor of the town of Meßkirch in Baden-Württemberg.
  • A. Fred Herzog
    Fred Herzog was a silent film actor active in the 1920s, known for appearing in early American cinema productions.
  • B. John Werner Cahn
    John Werner Cahn was an influential American materials scientist and physicist known for his pioneering work on phase transformations and the thermodynamics of microstructural evolution in solids.
  • C. Louis Kraemer
    Louis Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
  • D. John Stahl
    John Stahl was a Scottish actor known for his work in theatre, television, and film, including roles in productions such as the National Theatre's "Frankenstein" and the TV series "Game of Thrones."
  • E. Paul Hirsch
    Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa3dd2481909e925304fcea2111 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc572a87788190a92f96f7b9c43f2a completed March 31, 2026, 11:22 p.m.
NEDg Description generation batch_69cc58ee56108190b93f0bf6bbb0321c completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cd22b188190b8a31e8e8ac8b98d completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:25 p.m.