Triple

T25582629
Position Surface form Disambiguated ID Type / Status
Subject Colonel Virginia Lake E641290 entity
Predicate employerFullName P44868 FINISHED
Object Supreme Headquarters Alien Defence Organisation 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: Supreme Headquarters Alien Defence Organisation | Statement: [Colonel Virginia Lake, employerFullName, Supreme Headquarters Alien Defence Organisation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: employerFullName
Context triple: [Colonel Virginia Lake, employerFullName, Supreme Headquarters Alien Defence Organisation]
  • A. companyFullName
    Indicates that the relationship specifies the complete, official legal name of a company.
  • B. parentEmployer
    Indicates that one organization is the direct or higher-level employer of another organization or entity.
  • C. associatedOrganizationFullName chosen
    Indicates that an entity is linked to an organization by specifying the organization’s complete, official name.
  • D. employerIn
    Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
  • E. publicCompany
    Indicates that a company is publicly traded, meaning its ownership shares are available to the general public on one or more stock exchanges.
  • F. None of above.

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_69e75dc42b588190a98b58e0df359674 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f62d89b89c8190afb372a8172111e7 completed May 2, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69f62c1379f08190836c3e02b0c892df completed May 2, 2026, 4:53 p.m.
Created at: April 21, 2026, 4:13 p.m.