Triple

T3551225
Position Surface form Disambiguated ID Type / Status
Subject Brian Dennehy E75114 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: [Brian Dennehy, notableWork, Romeo + Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo + Juliet
Context triple: [Brian Dennehy, 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. Lovers
    Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
  • D. 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.
  • E. Me and Juliet
    Me and Juliet is a lesser-known 1953 Broadway musical by Richard Rodgers and Oscar Hammerstein II that offers a backstage love story set within a theater production.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd52f44819088e07139fe987e2a completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bec437c8190b35ca77dc19d441d completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.