Triple

T9003095
Position Surface form Disambiguated ID Type / Status
Subject XProtect E215080 entity
Predicate offersEdition P15708 FINISHED
Object XProtect Corporate E215080 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: XProtect Corporate | Statement: [XProtect, offersEdition, XProtect Corporate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XProtect Corporate
Context triple: [XProtect, offersEdition, XProtect Corporate]
  • A. XProtect chosen
    XProtect is a video management software platform widely used for managing and recording IP-based surveillance systems.
  • B. Microsoft Defender for Endpoint
    Microsoft Defender for Endpoint is an enterprise-grade endpoint security platform from Microsoft that provides advanced threat protection, detection, and response capabilities across organizational devices and networks.
  • C. Trend Micro
    Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
  • D. McAfee
    McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
  • E. Norton Antivirus
    Norton Antivirus is a widely used commercial antivirus and security software suite designed to protect computers and devices from malware, viruses, and other online threats.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6957bd5481908ce74f32f8d197de completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017643df48190abdb672a3f85aef3 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:05 p.m.