Triple
T15227300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilsson |
E363907
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peter Nilsson
Peter Nilsson is a Swedish former professional footballer best known for playing as a midfielder for clubs such as Östers IF and the Sweden national team in the late 1970s and 1980s.
|
E1145926
|
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: Peter Nilsson | Statement: [Nilsson, hasNotableBearer, Peter Nilsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Nilsson Context triple: [Nilsson, hasNotableBearer, Peter Nilsson]
-
A.
Björn Isfält
Björn Isfält was a Swedish film composer known for his evocative scores for both Scandinavian cinema and international films.
-
B.
Per Nilsson
Per Nilsson is a Swedish author best known for his young adult novels that often explore complex emotional and social themes.
-
C.
Carl Lindström
Carl Lindström was a pioneering early 20th-century German-Swedish record industry entrepreneur whose company became a major force in European recorded music.
-
D.
Ulf Lundell
Ulf Lundell is a Swedish rock musician, songwriter, and author, often regarded as one of Sweden’s most influential rock artists.
-
E.
Bjørn Floberg
Bjørn Floberg is a Norwegian actor known for his intense character roles in film, television, and theatre.
- 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: Peter Nilsson Triple: [Nilsson, hasNotableBearer, Peter Nilsson]
Generated description
Peter Nilsson is a Swedish former professional footballer best known for playing as a midfielder for clubs such as Östers IF and the Sweden national team in the late 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Nilsson Target entity description: Peter Nilsson is a Swedish former professional footballer best known for playing as a midfielder for clubs such as Östers IF and the Sweden national team in the late 1970s and 1980s.
-
A.
Björn Isfält
Björn Isfält was a Swedish film composer known for his evocative scores for both Scandinavian cinema and international films.
-
B.
Per Nilsson
Per Nilsson is a Swedish author best known for his young adult novels that often explore complex emotional and social themes.
-
C.
Carl Lindström
Carl Lindström was a pioneering early 20th-century German-Swedish record industry entrepreneur whose company became a major force in European recorded music.
-
D.
Ulf Lundell
Ulf Lundell is a Swedish rock musician, songwriter, and author, often regarded as one of Sweden’s most influential rock artists.
-
E.
Bjørn Floberg
Bjørn Floberg is a Norwegian actor known for his intense character roles in film, television, and theatre.
- 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_69fee5edca5c8190827788324a9e886d |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee6706764819099ad22a6289ac465 |
completed | May 9, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee706214081909468535055497b8f |
completed | May 9, 2026, 7:49 a.m. |
Created at: April 10, 2026, 3:12 a.m.