Triple

T23497061
Position Surface form Disambiguated ID Type / Status
Subject Orange Business Services E571730 entity
Predicate hasSubsidiary P254 FINISHED
Object Orange Cyberdefense 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: Orange Cyberdefense | Statement: [Orange Business Services, hasSubsidiary, Orange Cyberdefense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Cyberdefense
Context triple: [Orange Business Services, hasSubsidiary, Orange Cyberdefense]
  • A. Orange Cyberdefense chosen
    Orange Cyberdefense is the cybersecurity arm of the Orange Group, providing managed security services, threat intelligence, and consulting to protect organizations from digital threats.
  • B. Cylance Inc.
    Cylance Inc. is a cybersecurity company known for using artificial intelligence and machine learning to provide advanced threat prevention solutions.
  • C. Rapid7
    Rapid7 is a cybersecurity company known for providing vulnerability management, incident detection, and penetration testing 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. 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.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e0c5a48190badb8303f40f6180 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.