Triple

T12030474
Position Surface form Disambiguated ID Type / Status
Subject Craig Pearce E286391 entity
Predicate notableWork P4 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: [Craig Pearce, notableWork, Romeo + Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo + Juliet
Context triple: [Craig Pearce, notableWork, 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. Capulet
    Capulet is the aristocratic family in Shakespeare's "Romeo and Juliet" that serves as one half of the play's central feuding houses.
  • D. After Juliet
    After Juliet is a stage play by Sharman Macdonald that imagines the aftermath of Shakespeare’s Romeo and Juliet, focusing on the surviving characters and the consequences of the lovers’ deaths.
  • E. 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.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684c9aa3881908f920422f4f815e1 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:47 p.m.