Triple

T9085080
Position Surface form Disambiguated ID Type / Status
Subject Mary Elizabeth Mastrantonio E217731 entity
Predicate notableWork P4 FINISHED
Object The West Wing E3643 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: The West Wing | Statement: [Mary Elizabeth Mastrantonio, notableWork, The West Wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The West Wing
Context triple: [Mary Elizabeth Mastrantonio, notableWork, The West Wing]
  • A. 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.
  • 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. The West Wing (TV series) chosen
    The West Wing (TV series) is an American political drama that follows the inner workings and staff of a fictional U.S. presidential administration.
  • E. Veep
    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.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960d0b008190b0e9e61fac45101d completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe38f0048190a9fb15e73d9bcd50 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.