Triple
T1354132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Air Shuttle |
E28947
|
entity |
| Predicate | CEO |
P537
|
FINISHED |
| Object |
Geir Karlsen
Geir Karlsen is a Norwegian business executive best known for leading the low-cost airline Norwegian Air Shuttle through a major financial restructuring and recovery.
|
E188154
|
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: Geir Karlsen | Statement: [Norwegian Air Shuttle, CEO, Geir Karlsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geir Karlsen Context triple: [Norwegian Air Shuttle, CEO, Geir Karlsen]
-
A.
Truls Gerhardsen
Truls Gerhardsen is a Norwegian politician and the son of former Prime Minister Einar Gerhardsen.
-
B.
Trond Giaever
Trond Giaever is the child of Norwegian-American physicist and Nobel laureate Ivar Giaever.
-
C.
Sjur Lie
Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
-
D.
Bjørn Kjos
Bjørn Kjos is a Norwegian businessman, lawyer, and former fighter pilot best known as the co-founder and long-time CEO of the low-cost airline Norwegian Air Shuttle.
-
E.
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.
- 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: Geir Karlsen Triple: [Norwegian Air Shuttle, CEO, Geir Karlsen]
Generated description
Geir Karlsen is a Norwegian business executive best known for leading the low-cost airline Norwegian Air Shuttle through a major financial restructuring and recovery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geir Karlsen Target entity description: Geir Karlsen is a Norwegian business executive best known for leading the low-cost airline Norwegian Air Shuttle through a major financial restructuring and recovery.
-
A.
Truls Gerhardsen
Truls Gerhardsen is a Norwegian politician and the son of former Prime Minister Einar Gerhardsen.
-
B.
Trond Giaever
Trond Giaever is the child of Norwegian-American physicist and Nobel laureate Ivar Giaever.
-
C.
Sjur Lie
Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
-
D.
Bjørn Kjos
Bjørn Kjos is a Norwegian businessman, lawyer, and former fighter pilot best known as the co-founder and long-time CEO of the low-cost airline Norwegian Air Shuttle.
-
E.
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.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26e916c8190b4b324df87f4c121 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad67ff7fe481908e1705ba8be84f3a |
completed | March 8, 2026, 12:13 p.m. |
| NEDg | Description generation | batch_69ad6918ebd4819085cd74c172e5c72e |
completed | March 8, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad697d0edc8190b94e61b57f0c65ee |
completed | March 8, 2026, 12:20 p.m. |
Created at: March 1, 2026, 7:56 p.m.