Triple

T8613702
Position Surface form Disambiguated ID Type / Status
Subject Frank E203979 entity
Predicate hasVariant P455 FINISHED
Object Franke
Franke is a variant form of the given name Frank, typically used as a surname or less common personal name in Germanic-speaking regions.
 E745431 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: Franke | Statement: [Frank, hasVariant, Franke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franke
Context triple: [Frank, hasVariant, Franke]
  • A. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • B. Duravit
    Duravit is a German manufacturer renowned for its high-quality, design-focused bathroom ceramics and furnishings, often created in collaboration with leading designers.
  • C. Petit & Fritsen
    Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
  • D. Gaggenau
    Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
  • E. Kohler
    Kohler is a German-origin surname borne by various notable individuals, including scholars, politicians, and artists.
  • 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: Franke
Triple: [Frank, hasVariant, Franke]
Generated description
Franke is a variant form of the given name Frank, typically used as a surname or less common personal name in Germanic-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Franke
Target entity description: Franke is a variant form of the given name Frank, typically used as a surname or less common personal name in Germanic-speaking regions.
  • A. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • B. Duravit
    Duravit is a German manufacturer renowned for its high-quality, design-focused bathroom ceramics and furnishings, often created in collaboration with leading designers.
  • C. Petit & Fritsen
    Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
  • D. Gaggenau
    Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
  • E. Kohler
    Kohler is a German-origin surname borne by various notable individuals, including scholars, politicians, and artists.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4700b9e08190b03f05f4757cfc47 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91c30ec81908dafc1caf057e41c completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9e685388190a4be9d2135dc02d0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaababe2c8190bc47430d33bfdbaa completed April 2, 2026, 5:43 p.m.
Created at: March 30, 2026, 6:25 p.m.