Triple

T22206475
Position Surface form Disambiguated ID Type / Status
Subject Silver Lake E548819 entity
Predicate notableInvestment P3488 FINISHED
Object SolarWinds NE NERFINISHED

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 | Statement: [Silver Lake, notableInvestment, SolarWinds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SolarWinds
Context triple: [Silver Lake, notableInvestment, SolarWinds]
  • 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. Tenable
    Tenable is a British daytime television quiz show, hosted by Warwick Davis, in which teams of contestants attempt to complete top-ten lists on a variety of topics.
  • C. Orange Cyberdefense
    Orange Cyberdefense is the cybersecurity arm of the Orange Group, providing managed security services, threat intelligence, and consulting to protect organizations from digital threats.
  • D. Rapid7
    Rapid7 is a cybersecurity company known for providing vulnerability management, incident detection, and penetration testing solutions.
  • E. Sophos
    Sophos is a British cybersecurity company known for providing antivirus, endpoint protection, and network security solutions to businesses and organizations worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2868d88190af313b862fe9d8f2 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.