Triple

T10442256
Position Surface form Disambiguated ID Type / Status
Subject Corey Hawkins E246196 entity
Predicate appearedIn P795 FINISHED
Object Romeo and 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 and Juliet | Statement: [Corey Hawkins, appearedIn, Romeo and Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo and Juliet
Context triple: [Corey Hawkins, appearedIn, Romeo and Juliet]
  • A. 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.
  • B. 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.
  • 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 an ancient Greek work, traditionally attributed to Plato, that explores themes of love and philosophical education through a dramatic dialogue.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fa5b3b081909af7de1745372add completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:15 p.m.