Triple
T16365704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway national speed skating team |
E397430
|
entity |
| Predicate | hasAthlete |
P17934
|
FINISHED |
| Object |
Ragne Wiklund
Ragne Wiklund is a Norwegian long-distance speed skater who has won world championship titles and represented Norway at major international competitions, including the Winter Olympics.
|
E1211585
|
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: Ragne Wiklund | Statement: [Norway national speed skating team, hasAthlete, Ragne Wiklund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ragne Wiklund Context triple: [Norway national speed skating team, hasAthlete, Ragne Wiklund]
-
A.
Margareta Wästberg
Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
-
B.
Gudrun Rydstedt
Gudrun Rydstedt was the wife of Swedish music executive and ABBA manager Stig Anderson.
-
C.
Annette Ekblom
Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
-
D.
Maud Runnström
Maud Runnström was the wife of Swedish physicist and Nobel laureate Kai Siegbahn.
-
E.
Ulla Jacobsson
Ulla Jacobsson was a Swedish actress best known internationally for her roles in films such as "Zulu" and "Smiles of a Summer Night."
- 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: Ragne Wiklund Triple: [Norway national speed skating team, hasAthlete, Ragne Wiklund]
Generated description
Ragne Wiklund is a Norwegian long-distance speed skater who has won world championship titles and represented Norway at major international competitions, including the Winter Olympics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ragne Wiklund Target entity description: Ragne Wiklund is a Norwegian long-distance speed skater who has won world championship titles and represented Norway at major international competitions, including the Winter Olympics.
-
A.
Margareta Wästberg
Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
-
B.
Gudrun Rydstedt
Gudrun Rydstedt was the wife of Swedish music executive and ABBA manager Stig Anderson.
-
C.
Annette Ekblom
Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
-
D.
Maud Runnström
Maud Runnström was the wife of Swedish physicist and Nobel laureate Kai Siegbahn.
-
E.
Ulla Jacobsson
Ulla Jacobsson was a Swedish actress best known internationally for her roles in films such as "Zulu" and "Smiles of a Summer Night."
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3c915c81909e1757fc31921876 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c50763881908b115953961efef9 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003e3b113c819083e1abc512631e2b |
completed | May 10, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003eb6aa748190b0c8866af405794a |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:08 a.m.