Triple
T15372007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Privacy Cleaner |
E367570
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Avast |
E367569
|
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: Avast | Statement: [Privacy Cleaner, developedBy, Avast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avast Context triple: [Privacy Cleaner, developedBy, Avast]
-
A.
Avast Free Antivirus
Avast Free Antivirus is a widely used, no-cost security program that provides essential antivirus and malware protection for personal computers and mobile devices.
-
B.
AVIRA
AVIRA is an electronic music producer and DJ known for his melodic, progressive sound and collaborations within the trance and dance music scenes.
-
C.
Avast Premium Security
Avast Premium Security is a comprehensive paid cybersecurity suite that provides advanced antivirus, firewall, and privacy protection features for computers and mobile devices.
-
D.
Avira
Avira is a cybersecurity company best known for its antivirus and privacy software products for consumers and small businesses.
-
E.
Avast Software s.r.o.
chosen
Avast Software s.r.o. is a Czech cybersecurity company best known for its antivirus and internet security products for consumers and businesses worldwide.
- 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_69ff364d82c48190b116528b5c00e918 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:18 a.m.