Triple

T4371967
Position Surface form Disambiguated ID Type / Status
Subject Kay Fisker E98916 entity
Predicate familyName P18 FINISHED
Object Fisker
Fisker is a Danish surname most notably associated with architect Kay Fisker and, more broadly, with several prominent Danish figures in design, architecture, and the arts.
 E435380 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: Fisker | Statement: [Kay Fisker, familyName, Fisker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fisker
Context triple: [Kay Fisker, familyName, Fisker]
  • A. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • B. Fram
    Fram was a pioneering Norwegian polar exploration ship, specially designed for Arctic and Antarctic expeditions led by explorers such as Fridtjof Nansen and Roald Amundsen.
  • C. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • D. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • E. Larsen
    Larsen is a surname of Scandinavian origin borne by numerous notable individuals across fields such as literature, music, and sports.
  • 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: Fisker
Triple: [Kay Fisker, familyName, Fisker]
Generated description
Fisker is a Danish surname most notably associated with architect Kay Fisker and, more broadly, with several prominent Danish figures in design, architecture, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fisker
Target entity description: Fisker is a Danish surname most notably associated with architect Kay Fisker and, more broadly, with several prominent Danish figures in design, architecture, and the arts.
  • A. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • B. Fram
    Fram was a pioneering Norwegian polar exploration ship, specially designed for Arctic and Antarctic expeditions led by explorers such as Fridtjof Nansen and Roald Amundsen.
  • C. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • D. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • E. Larsen
    Larsen is a surname of Scandinavian origin borne by numerous notable individuals across fields such as literature, music, and sports.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521dffbc8190b9300a7f4f64bdc0 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50ec35481908cf1e1afffda19cb completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e5e96aac819093c43dc355de4509 completed March 14, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69b5e6587be88190884f61a7350ce5a9 completed March 14, 2026, 10:51 p.m.
Created at: March 12, 2026, 11:17 p.m.