Triple

T19214169
Position Surface form Disambiguated ID Type / Status
Subject Sue Wilson E480434 entity
Predicate universe P4832 FINISHED
Object Veep universe 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: Veep universe | Statement: [Sue Wilson, universe, Veep universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veep universe
Context triple: [Sue Wilson, universe, Veep universe]
  • A. Veep chosen
    Veep is an American political satire television series that follows the inept and often chaotic career of a fictional U.S. vice president and later president, Selina Meyer.
  • B. West Wing
    West Wing is a major building within St Thomas’ Hospital in London that houses key clinical and support services for patients.
  • C. West Wing
    The West Wing is a major gallery section of the Cleveland Museum of Art that houses part of its art collections and exhibitions.
  • D. West Wing
    The West Wing is the section of the White House that houses the Oval Office and the primary offices of the President of the United States and senior staff.
  • E. West Wing
    The West Wing is a section of the Bandung Geological Museum that houses part of its geological and paleontological exhibits.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa397c188190b85bcfd9afd8dce6 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:22 p.m.