Triple

T6463579
Position Surface form Disambiguated ID Type / Status
Subject Romeo Must Die E142178 entity
Predicate title P38 FINISHED
Object Romeo Must Die E142178 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 Must Die | Statement: [Romeo Must Die, title, Romeo Must Die]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo Must Die
Context triple: [Romeo Must Die, title, Romeo Must Die]
  • A. Romeo Must Die chosen
    Romeo Must Die is a 2000 action film blending martial arts, crime drama, and hip-hop culture, starring Jet Li and Aaliyah in a modern retelling of Romeo and Juliet set amid warring crime families.
  • B. Romeo Is Bleeding
    Romeo Is Bleeding is a 1993 neo-noir crime thriller film known for its dark, violent tone and morally corrupt characters, starring Gary Oldman and Lena Olin.
  • C. La Vendetta
    La Vendetta is a novella by Honoré de Balzac that forms part of his vast literary cycle La Comédie humaine, exploring themes of family honor, revenge, and Corsican culture.
  • D. The Rage
    The Rage is a 2007 American horror film directed by special effects artist Robert Kurtzman, known for its gruesome practical effects and over-the-top gore.
  • E. Most Wanted
    Most Wanted is a 1997 American action thriller film starring Keenen Ivory Wayans as a framed Marine sniper on the run from a government conspiracy.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f9b58081909412b9da753b9285 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be78ae48190b38390ed245694fb completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:49 p.m.