Triple

T3623025
Position Surface form Disambiguated ID Type / Status
Subject Kjell Ödeen E76770 entity
Predicate hasGivenName P17 FINISHED
Object Kjell
Kjell is a Scandinavian male given name, particularly common in Sweden and Norway.
E373744 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: Kjell | Statement: [Kjell Ödeen, hasGivenName, Kjell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kjell
Context triple: [Kjell Ödeen, hasGivenName, Kjell]
  • A. Kalle
    Kalle is a common diminutive form of the given name Karl, especially used in Germanic and Nordic countries.
  • B. Kjell Ödeen
    Kjell Ödeen was a Swedish architect best known for designing major public buildings such as the Scandinavium arena in Gothenburg.
  • C. Karlssen
    Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
  • D. Kåre Hedebrant
    Kåre Hedebrant is a Swedish actor best known for his acclaimed childhood performance as the young boy Oskar in the vampire film "Let the Right One In."
  • E. Jan Björklund
    Jan Björklund is a Swedish politician and former leader of the Liberal Party who served as Sweden’s Minister for Education and Deputy Prime Minister.
  • 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: Kjell
Triple: [Kjell Ödeen, hasGivenName, Kjell]
Generated description
Kjell is a Scandinavian male given name, particularly common in Sweden and Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kjell
Target entity description: Kjell is a Scandinavian male given name, particularly common in Sweden and Norway.
  • A. Kalle
    Kalle is a common diminutive form of the given name Karl, especially used in Germanic and Nordic countries.
  • B. Kjell Ödeen
    Kjell Ödeen was a Swedish architect best known for designing major public buildings such as the Scandinavium arena in Gothenburg.
  • C. Karlssen
    Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
  • D. Kåre Hedebrant
    Kåre Hedebrant is a Swedish actor best known for his acclaimed childhood performance as the young boy Oskar in the vampire film "Let the Right One In."
  • E. Jan Björklund
    Jan Björklund is a Swedish politician and former leader of the Liberal Party who served as Sweden’s Minister for Education and Deputy Prime Minister.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bc79008190abe6900adcbda8de completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43320955c8190910c0f15c80f41f4 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b43705642881909c62b7363a4f3a12 completed March 13, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69b4379cd04c81909246747bcc357261 completed March 13, 2026, 4:13 p.m.
Created at: March 8, 2026, 3:23 p.m.