Triple
T15227319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilsson |
E363907
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Viktor Nilsson
Viktor Nilsson is a Swedish professional footballer known for playing as a defender in European club competitions.
|
E1183859
|
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: Viktor Nilsson | Statement: [Nilsson, hasNotableBearer, Viktor Nilsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viktor Nilsson Context triple: [Nilsson, hasNotableBearer, Viktor Nilsson]
-
A.
Olof Nilsson
Olof Nilsson is a personal name shared by several notable Scandinavian individuals across fields such as politics, sports, and the arts.
-
B.
Karl Oskar Nilsson
Karl Oskar Nilsson is a Swedish farmer and emigrant to America, best known as the central protagonist of Vilhelm Moberg’s Emigrant novels and their musical adaptation.
-
C.
Karl Nilsson
Karl Nilsson is a person known primarily as a notable bearer of the Swedish surname Nilsson.
-
D.
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.
-
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: Viktor Nilsson Triple: [Nilsson, hasNotableBearer, Viktor Nilsson]
Generated description
Viktor Nilsson is a Swedish professional footballer known for playing as a defender in European club competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viktor Nilsson Target entity description: Viktor Nilsson is a Swedish professional footballer known for playing as a defender in European club competitions.
-
A.
Olof Nilsson
Olof Nilsson is a personal name shared by several notable Scandinavian individuals across fields such as politics, sports, and the arts.
-
B.
Karl Oskar Nilsson
Karl Oskar Nilsson is a Swedish farmer and emigrant to America, best known as the central protagonist of Vilhelm Moberg’s Emigrant novels and their musical adaptation.
-
C.
Karl Nilsson
Karl Nilsson is a person known primarily as a notable bearer of the Swedish surname Nilsson.
-
D.
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.
-
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_69ffb593258081909dcaf2b37fd28e63 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb6945aec8190a2295e497f6c7cf3 |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb70b8a3081909ee116014e47a757 |
completed | May 9, 2026, 10:36 p.m. |
Created at: April 10, 2026, 3:12 a.m.