Triple

T14441995
Position Surface form Disambiguated ID Type / Status
Subject Gary Walsh E358103 entity
Predicate partOf P40 FINISHED
Object Veep (TV series) E64331 NE 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: Veep (TV series) | Statement: [Gary Walsh, partOf, Veep (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veep (TV series)
Context triple: [Gary Walsh, partOf, Veep (TV series)]
  • 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
    The West Wing is a major gallery section of the Cleveland Museum of Art that houses part of its art collections and exhibitions.
  • C. West Wing
    West Wing is a major building within St Thomas’ Hospital in London that houses key clinical and support services for patients.
  • 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. The West Wing (TV series)
    The West Wing (TV series) is an American political drama that follows the inner workings and staff of a fictional U.S. presidential administration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915d28ec81909e72124e9dd67bfb completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa904c08190b33796b832aa100f completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:18 a.m.