Triple

T155041
Position Surface form Disambiguated ID Type / Status
Subject Lie E3160 entity
Predicate hasNotableBearer P458 FINISHED
Object Kjell Lie
Kjell Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
 E27744 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 Lie | Statement: [Lie, hasNotableBearer, Kjell Lie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kjell Lie
Context triple: [Lie, hasNotableBearer, Kjell Lie]
  • A. Morten Lie
    Morten Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
  • B. Sjur Lie
    Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
  • C. Reidar Lie
    Reidar Lie is a Norwegian philosopher and bioethicist known for his work on research ethics, global health, and the ethical dimensions of public health policy.
  • D. Nils Lie
    Nils Lie was a Norwegian judge and legal scholar known for his contributions to Norway’s judicial system in the early 20th century.
  • E. Håkon Wium Lie
    Håkon Wium Lie is a Norwegian web pioneer best known as the creator of Cascading Style Sheets (CSS) and a key figure in the development of open web standards.
  • 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 Lie
Triple: [Lie, hasNotableBearer, Kjell Lie]
Generated description
Kjell Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kjell Lie
Target entity description: Kjell Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
  • A. Morten Lie
    Morten Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
  • B. Sjur Lie
    Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
  • C. Reidar Lie
    Reidar Lie is a Norwegian philosopher and bioethicist known for his work on research ethics, global health, and the ethical dimensions of public health policy.
  • D. Nils Lie
    Nils Lie was a Norwegian judge and legal scholar known for his contributions to Norway’s judicial system in the early 20th century.
  • E. Håkon Wium Lie
    Håkon Wium Lie is a Norwegian web pioneer best known as the creator of Cascading Style Sheets (CSS) and a key figure in the development of open web standards.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2582eb6408190beb38213c7d7d968 completed Feb. 28, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34418bb848190ac26adef7f990f93 completed Feb. 28, 2026, 7:38 p.m.
NEDg Description generation batch_69a34543689c8190ac8e25ffcf3b4fb3 completed Feb. 28, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69a345748c808190b0f8f2a00c3705e2 completed Feb. 28, 2026, 7:43 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.