Triple
T15227320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilsson |
E363907
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Åke Nilsson
Åke Nilsson is a Swedish former cross-country skier who competed internationally in the mid-20th century.
|
E1186927
|
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: Åke Nilsson | Statement: [Nilsson, hasNotableBearer, Åke Nilsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åke Nilsson Context triple: [Nilsson, hasNotableBearer, Åke Nilsson]
-
A.
Bengt Nilsson
Bengt Nilsson is a Swedish high jumper who won the gold medal at the 1954 European Championships and briefly held the world record in the event.
-
B.
Olof Nilsson
Olof Nilsson is a personal name shared by several notable Scandinavian individuals across fields such as politics, sports, and the arts.
-
C.
Karl-Erik Nilsson
Karl-Erik Nilsson is a Swedish sports administrator best known for serving as the long-time president of the Swedish Football Association and as a UEFA vice president.
-
D.
Nils Sjöberg
Nils Sjöberg is a pseudonym used by Taylor Swift for her work as a songwriter and producer, notably on the hit song "This Is What You Came For."
-
E.
Hans Nilsson
Hans Nilsson is a relatively common Scandinavian personal name shared by several notable individuals across fields such as politics, sports, and the arts.
- 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: Åke Nilsson Triple: [Nilsson, hasNotableBearer, Åke Nilsson]
Generated description
Åke Nilsson is a Swedish former cross-country skier who competed internationally in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Åke Nilsson Target entity description: Åke Nilsson is a Swedish former cross-country skier who competed internationally in the mid-20th century.
-
A.
Bengt Nilsson
Bengt Nilsson is a Swedish high jumper who won the gold medal at the 1954 European Championships and briefly held the world record in the event.
-
B.
Olof Nilsson
Olof Nilsson is a personal name shared by several notable Scandinavian individuals across fields such as politics, sports, and the arts.
-
C.
Karl-Erik Nilsson
Karl-Erik Nilsson is a Swedish sports administrator best known for serving as the long-time president of the Swedish Football Association and as a UEFA vice president.
-
D.
Nils Sjöberg
Nils Sjöberg is a pseudonym used by Taylor Swift for her work as a songwriter and producer, notably on the hit song "This Is What You Came For."
-
E.
Hans Nilsson
Hans Nilsson is a relatively common Scandinavian personal name shared by several notable individuals across fields such as politics, sports, and the arts.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078bb32881909927561c6c072546 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe60d4a08190833397c75b56932c |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf70d6488190944986503882678d |
completed | May 9, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc08179488190a8f434121bede859 |
completed | May 9, 2026, 11:17 p.m. |
Created at: April 10, 2026, 3:12 a.m.