Triple

T14891944
Position Surface form Disambiguated ID Type / Status
Subject Roth E359772 entity
Predicate notableBearer P458 FINISHED
Object Andreas Roth
Andreas Roth is a relatively obscure individual whose primary public mention is as a namesake associated with the surname Roth.
E1158437 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 Roth | Statement: [Roth, notableBearer, Andreas Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreas Roth
Context triple: [Roth, notableBearer, Andreas Roth]
  • 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 Stegemann
    Andreas Stegemann is a German local politician who serves as the mayor of the city of Recklinghausen in North Rhine-Westphalia.
  • C. Markus Häußler
    Markus Häußler is a German local politician who serves as the mayor of the municipality of Illerkirchberg in Baden-Württemberg.
  • D. Markus Häußler
    Markus Häußler is a German local politician who serves as the mayor of the town of Munderkingen in Baden-Württemberg.
  • E. Andreas Schmidt
    Andreas Schmidt is a relatively common German personal name shared by multiple individuals across fields such as politics, sports, and the arts.
  • 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 Roth
Triple: [Roth, notableBearer, Andreas Roth]
Generated description
Andreas Roth is a relatively obscure individual whose primary public mention is as a namesake associated with the surname Roth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andreas Roth
Target entity description: Andreas Roth is a relatively obscure individual whose primary public mention is as a namesake associated with the surname Roth.
  • 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 Stegemann
    Andreas Stegemann is a German local politician who serves as the mayor of the city of Recklinghausen in North Rhine-Westphalia.
  • C. Markus Häußler
    Markus Häußler is a German local politician who serves as the mayor of the town of Munderkingen in Baden-Württemberg.
  • D. Markus Häußler
    Markus Häußler is a German local politician who serves as the mayor of the municipality of Illerkirchberg in Baden-Württemberg.
  • E. Andreas Schmidt
    Andreas Schmidt is a relatively common German personal name shared by multiple individuals across fields such as politics, sports, and the arts.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce5d0708190bbfff5d68c5e7a3c completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2d991c94819094e00a634d5b0948 completed May 9, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff2e5077cc819096208137ef5c99bb completed May 9, 2026, 12:53 p.m.
Created at: April 10, 2026, 2:10 a.m.