Triple

T14173646
Position Surface form Disambiguated ID Type / Status
Subject Premium Rush E351275 entity
Predicate productionCompany P490 FINISHED
Object Pariah E586611 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: Pariah | Statement: [Premium Rush, productionCompany, Pariah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pariah
Context triple: [Premium Rush, productionCompany, Pariah]
  • A. Pariah
    Pariah is a 2011 independent coming-of-age drama film about a Brooklyn teenager embracing her identity as a lesbian, noted for its intimate storytelling and evocative cinematography.
  • B. Pariah chosen
    Pariah is a film production company known for producing the post-apocalyptic zombie comedy "Zombieland."
  • C. The Crazed
    "The Crazed" is a novel by Chinese-American author Ha Jin that explores the psychological and political turmoil of post-Cultural Revolution China through a graduate student's relationship with his ailing mentor.
  • D. Outcast
    Outcast is a horror comic book series created by Robert Kirkman that follows a young man plagued by demonic possession and his quest to understand and combat the dark forces surrounding him.
  • E. Outcast
    Outcast is a 2010 British supernatural horror film blending folk horror and urban drama, noted for its dark atmosphere and strong performances.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80a9b34819081c4ebf7429e875a completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.