Triple
T20723973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erna Solberg |
E509387
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sindre Finnes
Sindre Finnes is a Norwegian business executive best known as the husband of former Norwegian prime minister Erna Solberg.
|
E1447242
|
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: Sindre Finnes | Statement: [Erna Solberg, spouse, Sindre Finnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sindre Finnes Context triple: [Erna Solberg, spouse, Sindre Finnes]
-
A.
Simen Nord
Simen Nord is a Norwegian local politician who serves as the mayor of Moss municipality.
-
B.
Erlend Nikulaussøn
Erlend Nikulaussøn is a central character in Sigrid Undset’s medieval Norwegian novel cycle "Kristin Lavransdatter," known as Kristin’s passionate but irresponsible lover and later husband.
-
C.
Ådne Søndrål
Ådne Søndrål is a Norwegian former speed skater best known as an Olympic and world champion middle-distance specialist, particularly in the 1500 meters.
-
D.
Rigmor Aasrud
Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
-
E.
Torbjørn
Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
- 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: Sindre Finnes Triple: [Erna Solberg, spouse, Sindre Finnes]
Generated description
Sindre Finnes is a Norwegian business executive best known as the husband of former Norwegian prime minister Erna Solberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sindre Finnes Target entity description: Sindre Finnes is a Norwegian business executive best known as the husband of former Norwegian prime minister Erna Solberg.
-
A.
Simen Nord
Simen Nord is a Norwegian local politician who serves as the mayor of Moss municipality.
-
B.
Erlend Nikulaussøn
Erlend Nikulaussøn is a central character in Sigrid Undset’s medieval Norwegian novel cycle "Kristin Lavransdatter," known as Kristin’s passionate but irresponsible lover and later husband.
-
C.
Ådne Søndrål
Ådne Søndrål is a Norwegian former speed skater best known as an Olympic and world champion middle-distance specialist, particularly in the 1500 meters.
-
D.
Rigmor Aasrud
Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
-
E.
Torbjørn
Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e662f08190917ee043612d413e |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e0595d408190b9a8c2b063a83b5d |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e12d0d8c81909527575f628ec2d2 |
completed | May 16, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e1a7f16c8190af9a1dde4263e21d |
completed | May 16, 2026, 9:29 p.m. |
Created at: April 16, 2026, 12:28 p.m.