Triple

T15267866
Position Surface form Disambiguated ID Type / Status
Subject George McAfee E364945 entity
Predicate familyName P18 FINISHED
Object McAfee
McAfee is a well-known cybersecurity company recognized for its antivirus and computer security software products.
 E618960 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: McAfee | Statement: [George McAfee, familyName, McAfee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: McAfee
Context triple: [George McAfee, familyName, McAfee]
  • A. McAfee
    McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
  • B. Symantec
    Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
  • C. Trend Micro
    Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
  • D. Sophos
    Sophos is a British cybersecurity company known for providing antivirus, endpoint protection, and network security solutions to businesses and organizations worldwide.
  • E. Kaspersky Lab
    Kaspersky Lab is a Russian cybersecurity and anti-virus company known for developing security software and threat intelligence solutions used 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: McAfee
Triple: [George McAfee, familyName, McAfee]
Generated description
McAfee is a well-known cybersecurity company recognized for its antivirus and computer security software products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: McAfee
Target entity description: McAfee is a well-known cybersecurity company recognized for its antivirus and computer security software products.
  • A. McAfee chosen
    McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
  • B. Symantec
    Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
  • C. Trend Micro
    Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
  • D. Sophos
    Sophos is a British cybersecurity company known for providing antivirus, endpoint protection, and network security solutions to businesses and organizations worldwide.
  • E. Kaspersky Lab
    Kaspersky Lab is a Russian cybersecurity and anti-virus company known for developing security software and threat intelligence solutions used worldwide.
  • F. None of above.

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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094ca9ac8190a1f97a7b74c96cd5 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee602067c81908b1aaaca8871eeb9 completed May 9, 2026, 7:45 a.m.
NEDg Description generation batch_69fee6b1a29481908c5c945ef801468d completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee7b5e3f0819091246455e239996a completed May 9, 2026, 7:52 a.m.
Created at: April 10, 2026, 3:14 a.m.