Triple

T13488203
Position Surface form Disambiguated ID Type / Status
Subject Tenable (game show) E318560 entity
Predicate hasSpinOff P7226 FINISHED
Object Tenable All Stars
Tenable All Stars is a special celebrity edition of the British quiz show Tenable, featuring famous contestants playing for charity.
 E318556 NE FINISHED

How this triple was built (4 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: Tenable All Stars | Statement: [Tenable (game show), hasSpinOff, Tenable All Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenable All Stars
Context triple: [Tenable (game show), hasSpinOff, Tenable All Stars]
  • A. 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.
  • B. Nessus
    Nessus is a widely used vulnerability scanning tool that identifies security weaknesses in networks, systems, and applications.
  • C. Nessus
    Nessus is a centaur in Greek mythology best known for his role in the death of Heracles after deceitfully causing the poisoned garment incident.
  • D. Rapid7
    Rapid7 is a cybersecurity company known for providing vulnerability management, incident detection, and penetration testing solutions.
  • E. VulnDB
    VulnDB is a comprehensive vulnerability database that catalogs security flaws and exposures to support assessment, remediation, and integration with security tools.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tenable All Stars
Triple: [Tenable (game show), hasSpinOff, Tenable All Stars]
Generated description
Tenable All Stars is a special celebrity edition of the British quiz show Tenable, featuring famous contestants playing for charity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenable All Stars
Target entity description: Tenable All Stars is a special celebrity edition of the British quiz show Tenable, featuring famous contestants playing for charity.
  • A. Tenable chosen
    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.
  • B. Nessus
    Nessus is a widely used vulnerability scanning tool that identifies security weaknesses in networks, systems, and applications.
  • C. Nessus
    Nessus is a centaur in Greek mythology best known for his role in the death of Heracles after deceitfully causing the poisoned garment incident.
  • D. Rapid7
    Rapid7 is a cybersecurity company known for providing vulnerability management, incident detection, and penetration testing solutions.
  • E. VulnDB
    VulnDB is a comprehensive vulnerability database that catalogs security flaws and exposures to support assessment, remediation, and integration with security tools.
  • F. None of above.

Provenance (5 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74cb6cae881909563983a38311db7 completed May 3, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69f74d5389f08190826f0e550c8bb6c2 completed May 3, 2026, 1:27 p.m.
Created at: April 9, 2026, 9:42 p.m.