Triple

T13488024
Position Surface form Disambiguated ID Type / Status
Subject Tenable E318556 entity
Predicate productionCompany P490 FINISHED
Object Initial
Initial is a production company associated with the creation and development of content for the cybersecurity firm Tenable.
 E1043634 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: Initial | Statement: [Tenable, productionCompany, Initial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Initial
Context triple: [Tenable, productionCompany, Initial]
  • A. First
    First is a surname most notably associated with Ruth First, a South African anti-apartheid activist, journalist, and scholar.
  • B. Basic
    Basic is a 2003 mystery-thriller film directed by John McTiernan, centered on a complex investigation into the disappearance of U.S. Army Rangers during a training mission in Panama.
  • C. Basic
    Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
  • D. Basic
    Basic is a simple HTTP authentication scheme defined in RFC 2617 that transmits user credentials encoded in Base64, typically over a secure transport like HTTPS.
  • E. Early
    Early is a surname of English and Irish origin borne by various notable individuals, including American journalist and presidential press secretary Stephen T. Early.
  • 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: Initial
Triple: [Tenable, productionCompany, Initial]
Generated description
Initial is a production company associated with the creation and development of content for the cybersecurity firm Tenable.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Initial
Target entity description: Initial is a production company associated with the creation and development of content for the cybersecurity firm Tenable.
  • A. First
    First is a surname most notably associated with Ruth First, a South African anti-apartheid activist, journalist, and scholar.
  • B. Basic
    Basic is a 2003 mystery-thriller film directed by John McTiernan, centered on a complex investigation into the disappearance of U.S. Army Rangers during a training mission in Panama.
  • C. Basic
    Basic is a simple HTTP authentication scheme defined in RFC 2617 that transmits user credentials encoded in Base64, typically over a secure transport like HTTPS.
  • D. Basic
    Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
  • E. Early
    Early is a surname of English and Irish origin borne by various notable individuals, including American journalist and presidential press secretary Stephen T. Early.
  • F. None of above. chosen

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.