Triple
T15305264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sami Parliament of Norway |
E365881
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Christian Sundby
Christian Sundby is a Norwegian architect best known for designing the Sami Parliament of Norway building.
|
E1173614
|
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: Christian Sundby | Statement: [Sami Parliament of Norway, architect, Christian Sundby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Sundby Context triple: [Sami Parliament of Norway, architect, Christian Sundby]
-
A.
Niels Torp
Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
-
B.
Lars Risberg
Lars Risberg is a person notable enough to be recognized as a bearer of the surname Risberg.
-
C.
Carl Kjeldsberg
Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
-
D.
Niels Jensen
Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
-
E.
Anders Gyldenklou
Anders Gyldenklou was a Swedish nobleman and statesman who rose to one of the highest financial and political offices in the Swedish realm.
- 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: Christian Sundby Triple: [Sami Parliament of Norway, architect, Christian Sundby]
Generated description
Christian Sundby is a Norwegian architect best known for designing the Sami Parliament of Norway building.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Sundby Target entity description: Christian Sundby is a Norwegian architect best known for designing the Sami Parliament of Norway building.
-
A.
Niels Torp
Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
-
B.
Lars Risberg
Lars Risberg is a person notable enough to be recognized as a bearer of the surname Risberg.
-
C.
Carl Kjeldsberg
Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
-
D.
Niels Jensen
Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
-
E.
Anders Gyldenklou
Anders Gyldenklou was a Swedish nobleman and statesman who rose to one of the highest financial and political offices in the Swedish realm.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e1b698819098930596327340d7 |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff842a25e48190b4cdb147860b4fe2 |
completed | May 9, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8477b94081909814d0672dd7052f |
completed | May 9, 2026, 7:01 p.m. |
Created at: April 10, 2026, 3:16 a.m.