Triple

T15371986
Position Surface form Disambiguated ID Type / Status
Subject Avast Software s.r.o. E367569 entity
Predicate acquired P2511 FINISHED
Object AVG Technologies
AVG Technologies is a cybersecurity company best known for its antivirus and internet security software for consumers and small businesses.
 E1152461 NE FINISHED

How this triple was built (4 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: AVG Technologies | Statement: [Avast Software s.r.o., acquired, AVG Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AVG Technologies
Context triple: [Avast Software s.r.o., acquired, AVG Technologies]
  • A. McAfee
    McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
  • B. Kaspersky Lab
    Kaspersky Lab is a Russian cybersecurity and anti-virus company known for developing security software and threat intelligence solutions used worldwide.
  • C. Trend Micro
    Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
  • D. Symantec
    Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
  • E. Avast Software s.r.o.
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AVG Technologies
Triple: [Avast Software s.r.o., acquired, AVG Technologies]
Generated description
AVG Technologies is a cybersecurity company best known for its antivirus and internet security software for consumers and small businesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AVG Technologies
Target entity description: AVG Technologies is a cybersecurity company best known for its antivirus and internet security software for consumers and small businesses.
  • A. McAfee
    McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
  • B. Kaspersky Lab
    Kaspersky Lab is a Russian cybersecurity and anti-virus company known for developing security software and threat intelligence solutions used worldwide.
  • C. Trend Micro
    Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
  • D. Symantec
    Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
  • E. Avast Software s.r.o.
    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. chosen

Provenance (5 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.
NEDg Description generation batch_69ff0bc7dfe48190a05c2b826c7fd35c completed May 9, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c51c6c081908943ddb409655ed6 completed May 9, 2026, 10:28 a.m.
Created at: April 10, 2026, 3:18 a.m.