Triple
T7827293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kappa |
E181278
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object |
BasicNet
BasicNet is an Italian company best known for owning and managing sportswear and lifestyle brands such as Kappa, Robe di Kappa, and Superga.
|
E698456
|
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: BasicNet | Statement: [Kappa, parentCompany, BasicNet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BasicNet Context triple: [Kappa, parentCompany, BasicNet]
-
A.
Basic
Basic is a 2003 mystery-thriller film directed by John McTiernan, centered on a complex investigation into the disappearance of U.S. Army Rangers during a training mission in Panama.
-
B.
Basic
Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
-
C.
Home Basic
Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
-
D.
BASIC
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
-
E.
Net 25
Net 25 is a Philippine free-to-air television network known for its news, public affairs, and family-oriented entertainment programming.
- 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: BasicNet Triple: [Kappa, parentCompany, BasicNet]
Generated description
BasicNet is an Italian company best known for owning and managing sportswear and lifestyle brands such as Kappa, Robe di Kappa, and Superga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BasicNet Target entity description: BasicNet is an Italian company best known for owning and managing sportswear and lifestyle brands such as Kappa, Robe di Kappa, and Superga.
-
A.
Basic
Basic is a 2003 mystery-thriller film directed by John McTiernan, centered on a complex investigation into the disappearance of U.S. Army Rangers during a training mission in Panama.
-
B.
Basic
Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
-
C.
Home Basic
Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
-
D.
BASIC
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
-
E.
Net 25
Net 25 is a Philippine free-to-air television network known for its news, public affairs, and family-oriented entertainment programming.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a7f3b8819080f8a8283d6118fb |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a797ee881908068ba7346042756 |
completed | March 31, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69cb5ded0284819086c40a379b52a5bd |
completed | March 31, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb764973f88190964f91ee7e3fdc06 |
completed | March 31, 2026, 7:22 a.m. |
Created at: March 30, 2026, 4:43 p.m.