Triple

T30893288
Position Surface form Disambiguated ID Type / Status
Subject Katharine Gun E786957 entity
Predicate leakedDocumentType P29566 FINISHED
Object classified memo LITERAL 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: classified memo | Statement: [Katharine Gun, leakedDocumentType, classified memo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leakedDocumentType
Context triple: [Katharine Gun, leakedDocumentType, classified memo]
  • A. documentLeak chosen
    Indicates that a document has been disclosed or exposed to unauthorized parties, typically without permission or intended confidentiality.
  • B. documentTypeUsed
    Indicates that a particular type or category of document is employed or applied in a given context or activity.
  • C. leakedDocumentsPublishedBy
    Indicates that leaked documents were made publicly available by a particular publisher or entity.
  • D. documentationType
    Indicates the specific category or kind of documentation associated with or required for an entity or process.
  • E. documentTypeContext
    Indicates the contextual relationship between a document and its specific type or classification within a given setting or usage scenario.
  • 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_69f224bbfa7c81908448e0c261c523e3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6953bafb88190a860e9c68a3dd4b2 completed May 3, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69f690ed5d008190831cf8e44cce28af completed May 3, 2026, 12:03 a.m.
Created at: April 29, 2026, 8:49 p.m.