Triple

T19982905
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn (2015 film) E493861 entity
Predicate basedOn P98 FINISHED
Object Brooklyn (novel) NE NERFINISHED

How this triple was built (3 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: Brooklyn (novel) | Statement: [Brooklyn (2015 film), basedOn, Brooklyn (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn (novel)
Context triple: [Brooklyn (2015 film), basedOn, Brooklyn (novel)]
  • A. Motherless Brooklyn
    Motherless Brooklyn is a crime novel by Jonathan Lethem that follows a detective with Tourette’s syndrome as he investigates his mentor’s murder in a noir-inflected, character-driven mystery.
  • B. Going Back to Brooklyn
    Going Back to Brooklyn is a folk album by American singer-songwriter Dave Van Ronk that showcases his distinctive storytelling and guitar style.
  • C. City of Brooklyn
    The City of Brooklyn was a former independent city in New York State that encompassed the area of present-day Brooklyn before its consolidation into New York City in 1898.
  • D. The Brooklyn Novels
    The Brooklyn Novels is a trilogy of semi-autobiographical works by Daniel Fuchs that vividly portray Jewish working-class life in Brooklyn during the early 20th century.
  • E. It Happened in Brooklyn
    It Happened in Brooklyn is a 1947 romantic musical comedy film starring Frank Sinatra, Kathryn Grayson, Peter Lawford, and Jimmy Durante, set in postwar Brooklyn.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brooklyn (novel)
Target entity description: Brooklyn is a 2009 novel by Colm Tóibín that follows a young Irish woman's emotionally complex emigration to 1950s New York and the life she builds there between two countries.
  • A. Motherless Brooklyn
    Motherless Brooklyn is a crime novel by Jonathan Lethem that follows a detective with Tourette’s syndrome as he investigates his mentor’s murder in a noir-inflected, character-driven mystery.
  • B. Going Back to Brooklyn
    Going Back to Brooklyn is a folk album by American singer-songwriter Dave Van Ronk that showcases his distinctive storytelling and guitar style.
  • C. City of Brooklyn
    The City of Brooklyn was a former independent city in New York State that encompassed the area of present-day Brooklyn before its consolidation into New York City in 1898.
  • D. The Brooklyn Novels
    The Brooklyn Novels is a trilogy of semi-autobiographical works by Daniel Fuchs that vividly portray Jewish working-class life in Brooklyn during the early 20th century.
  • E. It Happened in Brooklyn
    It Happened in Brooklyn is a 1947 romantic musical comedy film starring Frank Sinatra, Kathryn Grayson, Peter Lawford, and Jimmy Durante, set in postwar Brooklyn.
  • F. None of above. chosen

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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d14c3c08190b1ba8f4da08a4ccf completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.