Triple

T19982918
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn (2015 film) E493861 entity
Predicate castMember P1668 FINISHED
Object Julie Walters NE NERFINISHED

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: Julie Walters | Statement: [Brooklyn (2015 film), castMember, Julie Walters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Walters
Context triple: [Brooklyn (2015 film), castMember, Julie Walters]
  • A. Julie Walters chosen
    Julie Walters is an acclaimed English actress known for her versatile performances in film, television, and theatre, including her role as Molly Weasley in the Harry Potter series.
  • B. Maggie Smith
    Maggie Smith is a renowned English actress celebrated for her versatile performances across film, television, and stage, including iconic roles in "Downton Abbey" and the "Harry Potter" series.
  • C. Louise Plowright
    Louise Plowright was a British actress known for her work in television and musical theatre, including notable roles in West End productions.
  • D. Judi Dench
    Judi Dench is an acclaimed English actress renowned for her work in theatre, film, and television, including her Oscar-winning performance in "Shakespeare in Love."
  • E. Betsy Aidem
    Betsy Aidem is an American actress known for her work in film, television, and theater.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.