Triple

T5643000
Position Surface form Disambiguated ID Type / Status
Subject Baz Luhrmann E124313 entity
Predicate directed P7373 FINISHED
Object Romeo + Juliet E54660 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: Romeo + Juliet | Statement: [Baz Luhrmann, directed, Romeo + Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo + Juliet
Context triple: [Baz Luhrmann, directed, Romeo + Juliet]
  • A. Romeo + Juliet chosen
    Romeo + Juliet is a 1996 modernized film adaptation of Shakespeare’s tragedy, directed by Baz Luhrmann and starring Leonardo DiCaprio and Claire Danes as the titular lovers.
  • B. Romeo and Juliet
    Romeo and Juliet is a tragic play by William Shakespeare about two young lovers from feuding families whose doomed relationship has become one of the most famous love stories in Western literature.
  • C. Star Crossed Lovers
    Star Crossed Lovers is a romantic-themed segment or track that explores the challenges and intensity of a doomed or fated love.
  • D. Lovers
    Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
  • E. The Last Kiss of Romeo and Juliet
    The Last Kiss of Romeo and Juliet is a Romantic-era artwork depicting the tragic lovers’ final embrace, housed in the historic Villa Carlotta on Lake Como.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a6a22881908d16f4df564ed2a2 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dae1744819083cc8827ade7478c completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:41 p.m.