Triple
T22262560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliassen |
E550264
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kjell Eliassen
Kjell Eliassen is a Norwegian diplomat and civil servant known for his prominent roles in Norway’s foreign service during the late 20th century.
|
E1527549
|
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 Eliassen | Statement: [Eliassen, hasNotableBearer, Kjell Eliassen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kjell Eliassen Context triple: [Eliassen, hasNotableBearer, Kjell Eliassen]
-
A.
Ole Singstad
Ole Singstad was a Norwegian-American civil engineer renowned for pioneering underwater vehicular tunnel design in the United States.
-
B.
Kjell Grede
Kjell Grede was a Swedish film director and screenwriter known for his distinctive, often introspective films in Scandinavian cinema.
-
C.
Kjell Kosberg
Kjell Kosberg is a Norwegian architect best known for designing the modern football stadium Aker Stadion in Molde, Norway.
-
D.
Kjell Neergaard
Kjell Neergaard is a Norwegian politician who has served as the mayor of the coastal city of Kristiansund.
-
E.
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.
- 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 Eliassen Triple: [Eliassen, hasNotableBearer, Kjell Eliassen]
Generated description
Kjell Eliassen is a Norwegian diplomat and civil servant known for his prominent roles in Norway’s foreign service during the late 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kjell Eliassen Target entity description: Kjell Eliassen is a Norwegian diplomat and civil servant known for his prominent roles in Norway’s foreign service during the late 20th century.
-
A.
Ole Singstad
Ole Singstad was a Norwegian-American civil engineer renowned for pioneering underwater vehicular tunnel design in the United States.
-
B.
Kjell Grede
Kjell Grede was a Swedish film director and screenwriter known for his distinctive, often introspective films in Scandinavian cinema.
-
C.
Kjell Kosberg
Kjell Kosberg is a Norwegian architect best known for designing the modern football stadium Aker Stadion in Molde, Norway.
-
D.
Kjell Neergaard
Kjell Neergaard is a Norwegian politician who has served as the mayor of the coastal city of Kristiansund.
-
E.
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.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141b94a688190b17c55477993a745 |
completed | April 28, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab66a08848190ac34b6af7a116f49 |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab7f904bc81909addafee8773eae0 |
completed | May 18, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab891ba1c81909c9e9a5f29d4eb54 |
completed | May 18, 2026, 6:58 a.m. |
Created at: April 16, 2026, 8:39 p.m.