Triple

T7944334
Position Surface form Disambiguated ID Type / Status
Subject Broadcom E184462 entity
Predicate acquired P2511 FINISHED
Object Symantec Enterprise Security business E192676 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: Symantec Enterprise Security business | Statement: [Broadcom, acquired, Symantec Enterprise Security business]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Symantec Enterprise Security business
Context triple: [Broadcom, acquired, Symantec Enterprise Security business]
  • A. Symantec chosen
    Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
  • B. Trend Micro
    Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
  • C. McAfee
    McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
  • D. Security solutions division
    The Security Solutions Division is a business unit of Samsung SDS that develops and provides cybersecurity and physical security technologies and services for enterprise and public-sector clients.
  • E. Allsafe Cybersecurity
    Allsafe Cybersecurity is a fictional cybersecurity firm in the television series "Mr. Robot," where protagonist Elliot Alderson works as a security engineer.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0e84448190a7e8e0749776a592 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c175bd88190bdc0303bc0df90d8 completed March 31, 2026, 5:31 a.m.
Created at: March 30, 2026, 5:09 p.m.