Triple

T21483233
Position Surface form Disambiguated ID Type / Status
Subject Mickey Liddell E530047 entity
Predicate notableWork P4 FINISHED
Object Biutiful NE NERFINISHED

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: Biutiful | Statement: [Mickey Liddell, notableWork, Biutiful]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biutiful
Context triple: [Mickey Liddell, notableWork, Biutiful]
  • A. Biutiful chosen
    Biutiful is a 2010 Spanish-language drama film directed by Alejandro González Iñárritu, featuring Javier Bardem as a terminally ill man struggling to care for his children amid the criminal underworld of Barcelona.
  • B. Before the Devil Knows You're Dead
    Before the Devil Knows You're Dead is a 2007 crime thriller film directed by Sidney Lumet that follows two brothers whose plan to rob their parents’ jewelry store spirals into tragedy.
  • C. Killing Them Softly
    Killing Them Softly is a 2012 American crime film, based on George V. Higgins' novel "Cogan's Trade," that follows a hitman investigating a heist on a mob-protected poker game.
  • D. Blow
    Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
  • E. Blow
    "Blow" is a disco-funk inspired song by Beyoncé, known for its sensual lyrics, retro production, and vibrant roller-disco themed visuals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea35945481909e5982429962de39 completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.