Triple
T14423124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gen Digital |
E357630
|
entity |
| Predicate | hasKeyBrand |
P11989
|
FINISHED |
| Object | Avast One |
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 One | Statement: [Gen Digital, hasKeyBrand, Avast One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avast One Context triple: [Gen Digital, hasKeyBrand, Avast One]
-
A.
AVIRA
AVIRA is an electronic music producer and DJ known for his melodic, progressive sound and collaborations within the trance and dance music scenes.
-
B.
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.
-
C.
Avira
Avira is a cybersecurity company best known for its antivirus and privacy software products for consumers and small businesses.
-
D.
Avast Secure Browser
Avast Secure Browser is a privacy-focused web browser developed by Avast that emphasizes security features like built-in ad blocking, anti-tracking, and protection against malicious websites.
-
E.
Norton Antivirus
Norton Antivirus is a widely used commercial antivirus and security software suite designed to protect computers and devices from malware, viruses, and other online threats.
- 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_69fda90a7f2881909a7744f1f4344173 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:18 a.m.