Triple
T20784996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Björn Borg |
E511604
|
entity |
| Predicate | hasBusiness |
P21206
|
FINISHED |
| Object |
Björn Borg fashion brand
The Björn Borg fashion brand is a Swedish sportswear and underwear label known for its colorful, athletic-inspired designs and association with tennis legend Björn Borg.
|
E1450322
|
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: Björn Borg fashion brand | Statement: [Björn Borg, hasBusiness, Björn Borg fashion brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Björn Borg fashion brand Context triple: [Björn Borg, hasBusiness, Björn Borg fashion brand]
-
A.
Brøgger
Brøgger is a Danish surname most notably associated with writer and cultural critic Suzanne Brøgger.
-
B.
Tournefeuille
Tournefeuille is a suburban town in southwestern France, located near Toulouse in the Occitanie region.
-
C.
Nordegren
Nordegren is a Swedish surname most notably borne by Elin Nordegren, a former model and the ex-wife of golfer Tiger Woods.
-
D.
Nordström
Nordström is a Swedish surname commonly associated with individuals of Scandinavian origin, including the economist and author Kjell A. Nordström.
-
E.
Hugo Boss
Hugo Boss is a German luxury fashion house known for its high-end menswear, fragrances, and accessories.
- 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: Björn Borg fashion brand Triple: [Björn Borg, hasBusiness, Björn Borg fashion brand]
Generated description
The Björn Borg fashion brand is a Swedish sportswear and underwear label known for its colorful, athletic-inspired designs and association with tennis legend Björn Borg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Björn Borg fashion brand Target entity description: The Björn Borg fashion brand is a Swedish sportswear and underwear label known for its colorful, athletic-inspired designs and association with tennis legend Björn Borg.
-
A.
Brøgger
Brøgger is a Danish surname most notably associated with writer and cultural critic Suzanne Brøgger.
-
B.
Tournefeuille
Tournefeuille is a suburban town in southwestern France, located near Toulouse in the Occitanie region.
-
C.
Nordegren
Nordegren is a Swedish surname most notably borne by Elin Nordegren, a former model and the ex-wife of golfer Tiger Woods.
-
D.
Nordström
Nordström is a Swedish surname commonly associated with individuals of Scandinavian origin, including the economist and author Kjell A. Nordström.
-
E.
Hugo Boss
Hugo Boss is a German luxury fashion house known for its high-end menswear, fragrances, and accessories.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28b4ce88190a45f1c99b58d18eb |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef9bcc6c8190a594a7c083cca572 |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f36a492481908518eba744452df0 |
completed | May 16, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f43e36588190a556a19b9dbb738b |
completed | May 16, 2026, 10:48 p.m. |
Created at: April 16, 2026, 12:38 p.m.