Triple

T19872074
Position Surface form Disambiguated ID Type / Status
Subject Friesen E477542 entity
Predicate hasVariantForm P457 FINISHED
Object Frieson
Frieson is a surname variant of Friesen, typically associated with families of German or Mennonite heritage.
 E1399736 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: Frieson | Statement: [Friesen, hasVariantForm, Frieson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frieson
Context triple: [Friesen, hasVariantForm, Frieson]
  • A. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • B. Bunge
    Bunge is a surname most notably associated with Nikolai Bunge, a prominent 19th-century Russian economist and statesman.
  • C. Steenbock
    Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
  • D. Frisch
    Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
  • E. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • 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: Frieson
Triple: [Friesen, hasVariantForm, Frieson]
Generated description
Frieson is a surname variant of Friesen, typically associated with families of German or Mennonite heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frieson
Target entity description: Frieson is a surname variant of Friesen, typically associated with families of German or Mennonite heritage.
  • A. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • B. Bunge
    Bunge is a surname most notably associated with Nikolai Bunge, a prominent 19th-century Russian economist and statesman.
  • C. Steenbock
    Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
  • D. Frisch
    Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
  • E. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc44f748190a65d88890960d90b completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc854a0c8190b0da81ead6b9cfc1 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd45e93c8190b14c23487398a8ec completed May 16, 2026, 2:58 a.m.
Created at: April 10, 2026, 1:51 p.m.