Triple

T7949141
Position Surface form Disambiguated ID Type / Status
Subject The Last Kiss of Romeo and Juliet E184569 entity
Predicate depicts P1581 FINISHED
Object Romeo and Juliet E62132 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 and Juliet | Statement: [The Last Kiss of Romeo and Juliet, depicts, Romeo and Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo and Juliet
Context triple: [The Last Kiss of Romeo and Juliet, depicts, Romeo and Juliet]
  • A. Romeo and Juliet chosen
    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.
  • B. Romeo + Juliet
    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.
  • 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. Juliet & Caesar
    "Juliet & Caesar" is a track by the Japanese rock band Blood Type, likely featuring their characteristic energetic and melodic style.
  • E. Lovers
    Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2d09a4819097aa49e29a5426ec completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe03c7d308190aec1172415be995c completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:10 p.m.