Triple

T5175977
Position Surface form Disambiguated ID Type / Status
Subject Deianira E116798 entity
Predicate influencedBy P9 FINISHED
Object Nessus E397005 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: Nessus | Statement: [Deianira, influencedBy, Nessus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nessus
Context triple: [Deianira, influencedBy, Nessus]
  • A. Nessus chosen
    Nessus is a centaur in Greek mythology best known for his role in the death of Heracles after deceitfully causing the poisoned garment incident.
  • B. OpenVAS
    OpenVAS is an open-source vulnerability scanning and management framework used to assess and improve the security of computer networks and systems.
  • C. 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.
  • D. Nmap
    Nmap is a widely used open-source network scanning and security auditing tool that discovers hosts and services on computer networks.
  • E. OWASP ZAP
    OWASP ZAP (Zed Attack Proxy) is an open-source web application security testing tool used to find vulnerabilities in web 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd797349008190b87ad9d0d3eb667f completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed94e269481908118fd1af1fc6a44 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.