Triple

T10113739
Position Surface form Disambiguated ID Type / Status
Subject Metzger E218303 entity
Predicate hasNotableBearer P458 FINISHED
Object Stefan Metzger
Stefan Metzger is a notable individual recognized as a prominent bearer of the Metzger surname.
 E846972 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: Stefan Metzger | Statement: [Metzger, hasNotableBearer, Stefan Metzger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stefan Metzger
Context triple: [Metzger, hasNotableBearer, Stefan Metzger]
  • A. 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.
  • B. Stefan Menzel
    Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
  • C. Stefan Butz
    Stefan Butz is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Butz.
  • D. Markus Häußler
    Markus Häußler is a German local politician who serves as the mayor of the municipality of Illerkirchberg in Baden-Württemberg.
  • E. Markus Häußler
    Markus Häußler is a German local politician who serves as the mayor of the town of Munderkingen in Baden-Württemberg.
  • 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: Stefan Metzger
Triple: [Metzger, hasNotableBearer, Stefan Metzger]
Generated description
Stefan Metzger is a notable individual recognized as a prominent bearer of the Metzger surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stefan Metzger
Target entity description: Stefan Metzger is a notable individual recognized as a prominent bearer of the Metzger surname.
  • A. 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.
  • B. Stefan Menzel
    Stefan Menzel is a person notable enough to be specifically distinguished among individuals sharing the surname Menzel.
  • C. Stefan Butz
    Stefan Butz is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Butz.
  • D. Markus Häußler
    Markus Häußler is a German local politician who serves as the mayor of the municipality of Illerkirchberg in Baden-Württemberg.
  • E. Markus Häußler
    Markus Häußler is a German local politician who serves as the mayor of the town of Munderkingen in Baden-Württemberg.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd15ffcd48190825800611aab2aab completed April 2, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3174bc46081909d78cdb524625ec3 completed April 6, 2026, 2:15 a.m.
NEDg Description generation batch_69d3183a8410819094e81fe9f43717b2 completed April 6, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69d318adfcb081909a3567f5327765ab completed April 6, 2026, 2:21 a.m.
Created at: March 30, 2026, 9:04 p.m.