Triple

T11285356
Position Surface form Disambiguated ID Type / Status
Subject John Carl Warnecke E267172 entity
Predicate familyName P18 FINISHED
Object Warnecke
Warnecke is a surname most notably associated with John Carl Warnecke, a prominent American architect known for his influential mid-20th-century designs.
 E915451 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: Warnecke | Statement: [John Carl Warnecke, familyName, Warnecke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warnecke
Context triple: [John Carl Warnecke, familyName, Warnecke]
  • A. Querbach
    Querbach is a district of the German town of Kehl in the state of Baden-Württemberg.
  • B. Wartenberg
    Wartenberg is a locality in the northeastern part of Berlin, Germany, known for its residential areas and proximity to green spaces.
  • C. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • D. Würges
    Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
  • E. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • 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: Warnecke
Triple: [John Carl Warnecke, familyName, Warnecke]
Generated description
Warnecke is a surname most notably associated with John Carl Warnecke, a prominent American architect known for his influential mid-20th-century designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warnecke
Target entity description: Warnecke is a surname most notably associated with John Carl Warnecke, a prominent American architect known for his influential mid-20th-century designs.
  • A. Querbach
    Querbach is a district of the German town of Kehl in the state of Baden-Württemberg.
  • B. Wartenberg
    Wartenberg is a locality in the northeastern part of Berlin, Germany, known for its residential areas and proximity to green spaces.
  • C. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • D. Würges
    Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
  • E. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48070ac8190b0e4d49f42ac3896 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4f95cbc7c819082e3d7c3c3266708 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff6b7d248190b4dd885280e09a8e completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.