Triple
T6153808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonas Åkerlund |
E137269
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Åkerlund
Åkerlund is a Swedish surname most notably associated with acclaimed music video and film director Jonas Åkerlund.
|
E572661
|
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: Åkerlund | Statement: [Jonas Åkerlund, familyName, Åkerlund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åkerlund Context triple: [Jonas Åkerlund, familyName, Åkerlund]
-
A.
Kristian Lundin
Kristian Lundin is a Swedish songwriter and producer known for crafting late-1990s and early-2000s pop hits for artists such as Backstreet Boys, *NSYNC, and Celine Dion.
-
B.
Wikström
Wikström is the Swedish family name of Maud Adams, the actress best known for her roles in James Bond films.
-
C.
Östberg
Östberg is a Swedish surname most notably borne by architect Ragnar Östberg, designer of the Stockholm City Hall.
-
D.
Assar Gabrielsson
Assar Gabrielsson was a Swedish industrialist and co-founder of Volvo, instrumental in establishing the company as a major automobile manufacturer.
-
E.
Tobias Enström
Tobias Enström is a Swedish former professional ice hockey defenseman best known for his puck-moving skills and long tenure in the NHL with the Atlanta Thrashers/Winnipeg Jets.
- 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: Åkerlund Triple: [Jonas Åkerlund, familyName, Åkerlund]
Generated description
Åkerlund is a Swedish surname most notably associated with acclaimed music video and film director Jonas Åkerlund.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Åkerlund Target entity description: Åkerlund is a Swedish surname most notably associated with acclaimed music video and film director Jonas Åkerlund.
-
A.
Kristian Lundin
Kristian Lundin is a Swedish songwriter and producer known for crafting late-1990s and early-2000s pop hits for artists such as Backstreet Boys, *NSYNC, and Celine Dion.
-
B.
Wikström
Wikström is the Swedish family name of Maud Adams, the actress best known for her roles in James Bond films.
-
C.
Östberg
Östberg is a Swedish surname most notably borne by architect Ragnar Östberg, designer of the Stockholm City Hall.
-
D.
Assar Gabrielsson
Assar Gabrielsson was a Swedish industrialist and co-founder of Volvo, instrumental in establishing the company as a major automobile manufacturer.
-
E.
Tobias Enström
Tobias Enström is a Swedish former professional ice hockey defenseman best known for his puck-moving skills and long tenure in the NHL with the Atlanta Thrashers/Winnipeg Jets.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cffc7bc819092633a9e5f1abe2f |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1418195d8819092743f323430b9a8 |
completed | March 23, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69c144696f80819092131e86a3bb3b63 |
completed | March 23, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c144c523c48190a709342dc031d2b8 |
completed | March 23, 2026, 1:48 p.m. |
Created at: March 22, 2026, 4:16 p.m.