Triple
T15371971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avast Software s.r.o. |
E367569
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | CCleaner |
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 | Statement: [Avast Software s.r.o., product, CCleaner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CCleaner Context triple: [Avast Software s.r.o., product, CCleaner]
-
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.
Defraggler
Defraggler is a disk defragmentation utility for Windows that allows users to optimize and reorganize files on their hard drives for improved performance.
-
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.
Norton Utilities
Norton Utilities is a software suite of diagnostic and optimization tools for DOS and Windows computers, originally developed by Peter Norton to help maintain and repair PC systems.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b528f408190b66d3d6e10e90a43 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.