Triple

T22068422
Position Surface form Disambiguated ID Type / Status
Subject Maurice Seezer E545340 entity
Predicate workedOn P3 FINISHED
Object Romeo + Juliet (1996 film soundtrack contribution) 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: Romeo + Juliet (1996 film soundtrack contribution) | Statement: [Maurice Seezer, workedOn, Romeo + Juliet (1996 film soundtrack contribution)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo + Juliet (1996 film soundtrack contribution)
Context triple: [Maurice Seezer, workedOn, Romeo + Juliet (1996 film soundtrack contribution)]
  • A. Romeo and Juliet (1968 film score)
    "Romeo and Juliet" (1968 film score) is Nino Rota’s acclaimed orchestral soundtrack for Franco Zeffirelli’s film adaptation of Shakespeare’s tragedy, best known for its lyrical and romantic main theme.
  • B. Romeo Must Die (film score)
    "Romeo Must Die (film score)" is a hip hop and R&B-influenced action film soundtrack composed by jazz bassist Stanley Clarke for the 2000 Jet Li movie "Romeo Must Die."
  • C. Romeo & Juliet (2013 film)
    Romeo & Juliet (2013 film) is a romantic drama adaptation of William Shakespeare’s classic tragedy, featuring a traditional period setting and an original score by composer Abel Korzeniowski.
  • D. Romeo and Juliet Fantasy Overture
    "Romeo and Juliet Fantasy Overture" is a symphonic work by Pyotr Ilyich Tchaikovsky that dramatically interprets Shakespeare’s tragic love story through richly romantic and thematic orchestral writing.
  • E. Romeo Is Bleeding
    Romeo Is Bleeding is a 1993 neo-noir crime thriller film known for its dark, violent tone and morally corrupt characters, starring Gary Oldman and Lena Olin.
  • 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: Romeo + Juliet (1996 film soundtrack contribution)
Target entity description: "Romeo + Juliet (1996 film soundtrack contribution)" refers to the music Maurice Seezer helped create for Baz Luhrmann’s modernized film adaptation of Shakespeare’s tragedy, featured on its popular 1996 soundtrack.
  • A. Romeo and Juliet (1968 film score)
    "Romeo and Juliet" (1968 film score) is Nino Rota’s acclaimed orchestral soundtrack for Franco Zeffirelli’s film adaptation of Shakespeare’s tragedy, best known for its lyrical and romantic main theme.
  • B. Romeo Must Die (film score)
    "Romeo Must Die (film score)" is a hip hop and R&B-influenced action film soundtrack composed by jazz bassist Stanley Clarke for the 2000 Jet Li movie "Romeo Must Die."
  • C. Romeo & Juliet (2013 film)
    Romeo & Juliet (2013 film) is a romantic drama adaptation of William Shakespeare’s classic tragedy, featuring a traditional period setting and an original score by composer Abel Korzeniowski.
  • D. Romeo and Juliet Fantasy Overture
    "Romeo and Juliet Fantasy Overture" is a symphonic work by Pyotr Ilyich Tchaikovsky that dramatically interprets Shakespeare’s tragic love story through richly romantic and thematic orchestral writing.
  • E. Romeo Is Bleeding
    Romeo Is Bleeding is a 1993 neo-noir crime thriller film known for its dark, violent tone and morally corrupt characters, starring Gary Oldman and Lena Olin.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12885fe04819092cdde142f91e147 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:27 p.m.