Triple

T10939854
Position Surface form Disambiguated ID Type / Status
Subject Recklinghausen E258438 entity
Predicate hasMayor P185 FINISHED
Object Andreas Stegemann
Andreas Stegemann is a German local politician who serves as the mayor of the city of Recklinghausen in North Rhine-Westphalia.
E905351 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: Andreas Stegemann | Statement: [Recklinghausen, hasMayor, Andreas Stegemann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreas Stegemann
Context triple: [Recklinghausen, hasMayor, Andreas Stegemann]
  • A. Andreas Scholz
    Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
  • B. Andreas Schmidt
    Andreas Schmidt is a relatively common German personal name shared by multiple individuals across fields such as politics, sports, and the arts.
  • C. Andreas Zimmermann
    Andreas Zimmermann is a German local politician who serves as the mayor of the municipality of Aumühle.
  • D. Stefan Menzel
    Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
  • E. Markus Vogt
    Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
  • 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: Andreas Stegemann
Triple: [Recklinghausen, hasMayor, Andreas Stegemann]
Generated description
Andreas Stegemann is a German local politician who serves as the mayor of the city of Recklinghausen in North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andreas Stegemann
Target entity description: Andreas Stegemann is a German local politician who serves as the mayor of the city of Recklinghausen in North Rhine-Westphalia.
  • A. Andreas Scholz
    Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
  • B. Andreas Schmidt
    Andreas Schmidt is a relatively common German personal name shared by multiple individuals across fields such as politics, sports, and the arts.
  • C. Andreas Zimmermann
    Andreas Zimmermann is a German local politician who serves as the mayor of the municipality of Aumühle.
  • D. Stefan Menzel
    Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
  • E. Markus Vogt
    Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c1389881909341170984211810 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d4f9518819091f7e02ad5f63ab3 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42f3dd02c8190b40bc692c24b2ff4 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:23 p.m.