Triple

T21318486
Position Surface form Disambiguated ID Type / Status
Subject Philip Schulz-Deyle E525542 entity
Predicate workedOn P3 FINISHED
Object Snowden 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: Snowden | Statement: [Philip Schulz-Deyle, workedOn, Snowden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowden
Context triple: [Philip Schulz-Deyle, workedOn, Snowden]
  • A. Edward Snowden chosen
    Edward Snowden is a former National Security Agency contractor who became internationally known in 2013 for leaking classified documents revealing global mass surveillance programs.
  • B. Viscount Snowden
    Viscount Snowden was the noble title granted to Philip Snowden, a prominent British Labour politician who served as the first Labour Chancellor of the Exchequer.
  • C. Lindsay Mills Snowden
    Lindsay Mills Snowden is an American acrobat and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
  • D. Daniel Assange
    Daniel Assange is the son of WikiLeaks founder Julian Assange and has occasionally drawn public attention due to his father's high-profile legal and political controversies.
  • E. Wendy Snowden
    Wendy Snowden is best known as the former wife of British satirist and comedian Peter Cook.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ece1c348190aaa9c52474b57b2f completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:37 p.m.