Triple

T14423021
Position Surface form Disambiguated ID Type / Status
Subject Piriform E357628 entity
Predicate brand P1500 FINISHED
Object CCleaner Cloud E357629 NE FINISHED

How this triple was built (2 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: CCleaner Cloud | Statement: [Piriform, brand, CCleaner Cloud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CCleaner Cloud
Context triple: [Piriform, brand, CCleaner Cloud]
  • A. CCleaner chosen
    CCleaner is a popular utility software that cleans and optimizes computers by removing unnecessary files, managing startup programs, and improving system performance and privacy.
  • B. CCleaner Browser
    CCleaner Browser is a Chromium-based web browser developed by Piriform that focuses on privacy, security, and performance optimization.
  • C. Privacy Cleaner
    Privacy Cleaner is a built-in tool in Avast Secure Browser designed to remove browsing data and enhance user privacy by clearing traces of online activity.
  • D. Disk Cleanup
    Disk Cleanup is a built-in Windows utility that frees up disk space by finding and removing unnecessary files such as temporary data and system cache.
  • E. VK Cloud
    VK Cloud is a Russian cloud computing platform offering infrastructure and related services for businesses and developers, operated by the technology company VK.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.