Triple

T15555931
Position Surface form Disambiguated ID Type / Status
Subject Kjetil Trædal Thorsen E370867 entity
Predicate familyName P18 FINISHED
Object Thorsen
Thorsen is a Norwegian surname borne by various notable individuals, including architect Kjetil Trædal Thorsen.
 E1164046 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: Thorsen | Statement: [Kjetil Trædal Thorsen, familyName, Thorsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thorsen
Context triple: [Kjetil Trædal Thorsen, familyName, Thorsen]
  • A. Thierstein
    Thierstein is a district in the canton of Solothurn in northwestern Switzerland, comprising several municipalities near the French border.
  • B. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • C. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • D. Thorsby
    Thorsby is a small town located in Chilton County, Alabama, known for its agricultural roots and rural community character.
  • E. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • 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: Thorsen
Triple: [Kjetil Trædal Thorsen, familyName, Thorsen]
Generated description
Thorsen is a Norwegian surname borne by various notable individuals, including architect Kjetil Trædal Thorsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thorsen
Target entity description: Thorsen is a Norwegian surname borne by various notable individuals, including architect Kjetil Trædal Thorsen.
  • A. Thierstein
    Thierstein is a district in the canton of Solothurn in northwestern Switzerland, comprising several municipalities near the French border.
  • B. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • C. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • D. Thorsby
    Thorsby is a small town located in Chilton County, Alabama, known for its agricultural roots and rural community character.
  • E. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a97dbfc8190a98cbbac5e71ba88 completed April 16, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456427988190bddea01f5cb159d9 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff470492f48190852ede832157ed10 completed May 9, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69ff47e5647c81909b785a1212c4bc50 completed May 9, 2026, 2:42 p.m.
Created at: April 10, 2026, 4:09 a.m.