Triple
T14423027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCleaner |
E357629
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | privacy protection software |
C34728
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: privacy protection software Context triple: [CCleaner, instanceOf, privacy protection software]
-
A.
privacy law
Privacy law is the body of legal rules and principles that governs the collection, use, storage, and disclosure of personal information to protect individuals’ privacy rights.
-
B.
data protection solution
A data protection solution is a system or set of tools and practices designed to safeguard data from loss, corruption, unauthorized access, and misuse throughout its lifecycle.
-
C.
privacy engineering program
A privacy engineering program is an organized, cross-functional initiative that systematically embeds privacy requirements, risk management, and privacy-by-design practices into an organization’s products, services, and technical infrastructure.
-
D.
encryption software
Encryption software is a type of application that transforms readable data into an unreadable format using cryptographic algorithms to protect its confidentiality, integrity, and, in some cases, authenticity.
-
E.
online privacy guide
An online privacy guide is a resource that explains practical strategies, tools, and best practices for protecting personal data and maintaining anonymity and security while using the internet.
- F. None of above. chosen
Provenance (1 batch)
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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:18 a.m.