Triple

T11993257
Position Surface form Disambiguated ID Type / Status
Subject Blanke E285464 entity
Predicate hasNotableBearer P458 FINISHED
Object Wilhelm Blanke
Wilhelm Blanke is a person known primarily as a notable bearer of the surname Blanke.
E959280 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: Wilhelm Blanke | Statement: [Blanke, hasNotableBearer, Wilhelm Blanke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelm Blanke
Context triple: [Blanke, hasNotableBearer, Wilhelm Blanke]
  • A. Heinrich Blanke
    Heinrich Blanke, better known professionally as Henry Blanke, was a German-born American film producer prominent in Hollywood during the studio era, particularly at Warner Bros.
  • B. Friedrich Bonte
    Friedrich Bonte was a German Kriegsmarine officer and flotilla leader who commanded the German destroyer forces during the early World War II naval operations in Norway.
  • C. Johann von Thielmann
    Johann von Thielmann was a Prussian general of the Napoleonic Wars, noted for his leadership of Prussian forces during the Waterloo campaign.
  • D. Johann Böhmer
    Johann Böhmer was a German scholar best known as the first husband of the writer and intellectual Caroline Schelling (née Michaelis).
  • E. Gottfried Turau
    Gottfried Turau was a German craftsman and woodcarver known for his role in creating the ornate Baroque panels of the famed Amber Room.
  • 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: Wilhelm Blanke
Triple: [Blanke, hasNotableBearer, Wilhelm Blanke]
Generated description
Wilhelm Blanke is a person known primarily as a notable bearer of the surname Blanke.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilhelm Blanke
Target entity description: Wilhelm Blanke is a person known primarily as a notable bearer of the surname Blanke.
  • A. Heinrich Blanke
    Heinrich Blanke, better known professionally as Henry Blanke, was a German-born American film producer prominent in Hollywood during the studio era, particularly at Warner Bros.
  • B. Friedrich Bonte
    Friedrich Bonte was a German Kriegsmarine officer and flotilla leader who commanded the German destroyer forces during the early World War II naval operations in Norway.
  • C. Johann von Thielmann
    Johann von Thielmann was a Prussian general of the Napoleonic Wars, noted for his leadership of Prussian forces during the Waterloo campaign.
  • D. Johann Böhmer
    Johann Böhmer was a German scholar best known as the first husband of the writer and intellectual Caroline Schelling (née Michaelis).
  • E. Gottfried Turau
    Gottfried Turau was a German craftsman and woodcarver known for his role in creating the ornate Baroque panels of the famed Amber Room.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
NEDg Description generation batch_69f48df7790c8190a8e79466f032e86d completed May 1, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69f490dfe4e4819092d7494ba9b807db completed May 1, 2026, 11:39 a.m.
Created at: April 8, 2026, 9:46 p.m.