Triple

T12142657
Position Surface form Disambiguated ID Type / Status
Subject Siegen E289225 entity
Predicate mayor P185 FINISHED
Object Steffen Mues
Steffen Mues is a German politician who serves as the mayor of the city of Siegen in North Rhine-Westphalia.
E1073987 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: Steffen Mues | Statement: [Siegen, mayor, Steffen Mues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steffen Mues
Context triple: [Siegen, mayor, Steffen Mues]
  • A. Falk Hentschel
    Falk Hentschel is a German actor and dancer known for roles in film and television, including appearances in dance-focused movies and superhero TV series.
  • B. Stefan Menzel
    Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
  • C. Andreas Grosch
    Andreas Grosch is a film producer best known for his work on the crime drama "Lord of War."
  • D. Stefan Schmidt
    Stefan Schmidt is a German politician known for his work with the Alliance 90/The Greens party, particularly on environmental and transport policy.
  • E. Klaus Busse
    Klaus Busse is a German automotive designer known for leading design at Maserati and other Stellantis brands, shaping the look of several modern luxury and performance vehicles.
  • 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: Steffen Mues
Triple: [Siegen, mayor, Steffen Mues]
Generated description
Steffen Mues is a German politician who serves as the mayor of the city of Siegen in North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steffen Mues
Target entity description: Steffen Mues is a German politician who serves as the mayor of the city of Siegen in North Rhine-Westphalia.
  • A. Falk Hentschel
    Falk Hentschel is a German actor and dancer known for roles in film and television, including appearances in dance-focused movies and superhero TV series.
  • B. Stefan Menzel
    Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
  • C. Andreas Grosch
    Andreas Grosch is a film producer best known for his work on the crime drama "Lord of War."
  • D. Stefan Schmidt
    Stefan Schmidt is a German politician known for his work with the Alliance 90/The Greens party, particularly on environmental and transport policy.
  • E. Klaus Busse
    Klaus Busse is a German automotive designer known for leading design at Maserati and other Stellantis brands, shaping the look of several modern luxury and performance vehicles.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915a9838081909622cc14df2a2582 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac706dc4819093f06b368f03fe02 completed May 6, 2026, 9:02 p.m.
NEDg Description generation batch_69fbadb3dca08190a88376278c434fbf completed May 6, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf91632c8190a956aa40c4ba335d completed May 6, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:49 p.m.