Triple

T14987607
Position Surface form Disambiguated ID Type / Status
Subject Kjell E373744 entity
Predicate hasVariant P455 FINISHED
Object Kjeld
Kjeld is a masculine given name, primarily used in Scandinavian and German-speaking countries, that is a variant of the name Kjell.
 E1129528 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: Kjeld | Statement: [Kjell, hasVariant, Kjeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kjeld
Context triple: [Kjell, hasVariant, Kjeld]
  • A. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • B. Knut Pedersen
    Knut Pedersen, better known by his pen name Knut Hamsun, was a Norwegian novelist and Nobel Prize laureate renowned for his influential modernist works such as "Hunger" and "Growth of the Soil."
  • C. Carl Kjeldsberg
    Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
  • D. Bjørn
    Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
  • E. Thorvald Jørgensen
    Thorvald Jørgensen was a Danish architect best known for his prominent public and ecclesiastical buildings in Copenhagen in the late 19th and early 20th centuries.
  • 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: Kjeld
Triple: [Kjell, hasVariant, Kjeld]
Generated description
Kjeld is a masculine given name, primarily used in Scandinavian and German-speaking countries, that is a variant of the name Kjell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kjeld
Target entity description: Kjeld is a masculine given name, primarily used in Scandinavian and German-speaking countries, that is a variant of the name Kjell.
  • A. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • B. Knut Pedersen
    Knut Pedersen, better known by his pen name Knut Hamsun, was a Norwegian novelist and Nobel Prize laureate renowned for his influential modernist works such as "Hunger" and "Growth of the Soil."
  • C. Carl Kjeldsberg
    Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
  • D. Bjørn
    Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
  • E. Thorvald Jørgensen
    Thorvald Jørgensen was a Danish architect best known for his prominent public and ecclesiastical buildings in Copenhagen in the late 19th and early 20th centuries.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7007588819095bb1de029a6f2eb completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8c036bfc8190b01bf2128403f557 completed May 9, 2026, 1:21 a.m.
NEDg Description generation batch_69fe8dc977448190a01c55d99d4d9034 completed May 9, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_69fe8e9e62a4819089b3568d277d5262 completed May 9, 2026, 1:32 a.m.
Created at: April 10, 2026, 2:53 a.m.