Triple

T7944509
Position Surface form Disambiguated ID Type / Status
Subject SolarWinds E184465 entity
Predicate subsidiary P258 FINISHED
Object SolarWinds MSP E184465 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: SolarWinds MSP | Statement: [SolarWinds, subsidiary, SolarWinds MSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SolarWinds MSP
Context triple: [SolarWinds, subsidiary, SolarWinds MSP]
  • A. SolarWinds chosen
    SolarWinds is an American software company best known for its IT infrastructure management tools and for being at the center of a major 2020 supply-chain cyberattack.
  • B. Kaseya Limited
    Kaseya Limited is an IT management and security software company known for providing remote monitoring, endpoint management, and cybersecurity solutions to managed service providers and enterprises.
  • C. Zscaler
    Zscaler is a cloud-based information security company known for providing secure access and zero-trust networking solutions to enterprises worldwide.
  • D. Trend Micro
    Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
  • E. AquaLogic Service Manager
    AquaLogic Service Manager is a BEA Systems product that provides governance, security, and management capabilities for SOA-based web services and service-oriented applications.
  • 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_69cb5c19168c8190a42d9c679fe35c40 completed March 31, 2026, 5:31 a.m.
Created at: March 30, 2026, 5:09 p.m.