Triple
T8010188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjørn Kjos |
E186468
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bjørn Kjos |
E186468
|
NE FINISHED |
How this triple was built (2 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: Bjørn Kjos | Statement: [Bjørn Kjos, name, Bjørn Kjos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjørn Kjos Context triple: [Bjørn Kjos, name, Bjørn Kjos]
-
A.
Bjørn Kjos
chosen
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.
-
B.
Jørgen Løvland
Jørgen Løvland was a Norwegian statesman and educator who served as Prime Minister and held several key ministerial posts during the early years of Norway’s independence.
-
C.
Bjørn Bjørnson
Bjørn Bjørnson was a Norwegian theatre director and actor, best known for his influential work in Scandinavian theatre and as the son of Nobel laureate writer Bjørnstjerne Bjørnson.
-
D.
Torbjørn Sikkeland
Torbjørn Sikkeland was a Norwegian-American physicist known for his role in the discovery of the synthetic element lawrencium at Lawrence Berkeley National Laboratory.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d70caf8819090a9f98025470c0d |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd94574a9c8190b826438a51f9ca02 |
completed | April 1, 2026, 9:55 p.m. |
Created at: March 30, 2026, 5:19 p.m.