Triple

T8601973
Position Surface form Disambiguated ID Type / Status
Subject Ezra Miller E203697 entity
Predicate appearedIn P795 FINISHED
Object Royal Pains (TV series) E279635 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: Royal Pains (TV series) | Statement: [Ezra Miller, appearedIn, Royal Pains (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Pains (TV series)
Context triple: [Ezra Miller, appearedIn, Royal Pains (TV series)]
  • A. Royal Pains chosen
    Royal Pains is an American comedy-drama television series about a concierge doctor serving wealthy clients in the Hamptons.
  • B. Nip/Tuck
    Nip/Tuck is an American television drama series that follows the personal and professional lives of two Miami plastic surgeons, known for its provocative themes and dark, character-driven storytelling.
  • C. St. Elsewhere
    St. Elsewhere is an acclaimed 1980s American medical drama television series known for its ensemble cast, gritty realism, and influential storytelling.
  • D. Seattle Grace
    Seattle Grace is the fictional Seattle teaching hospital that serves as the primary setting for much of the medical drama series "Grey's Anatomy."
  • E. Blue Bloods
    Blue Bloods is an American police procedural drama series that follows a multigenerational family of New York City law enforcement officers as they navigate crime, justice, and complex personal dynamics.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46da609881909a6d851915e8df14 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.