Triple

T14847364
Position Surface form Disambiguated ID Type / Status
Subject Art Malik E349132 entity
Predicate notableWork P4 FINISHED
Object True Lies E95769 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: True Lies | Statement: [Art Malik, notableWork, True Lies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: True Lies
Context triple: [Art Malik, notableWork, True Lies]
  • A. True Lies chosen
    True Lies is a 1994 action-comedy film directed by James Cameron, starring Arnold Schwarzenegger as a secret agent leading a double life.
  • B. Anything But the Truth
    "Anything But the Truth" is a song featured on Jack Johnson's 2010 studio album "To the Sea."
  • C. Hollywood Liar
    "Hollywood Liar" is a song featured on the album *Inside Story*, likely characterized by themes of deception and the darker side of fame.
  • D. Bed of Lies
    "Bed of Lies" is a confessional hip hop and pop ballad by Nicki Minaj featuring Skylar Grey, known for its introspective lyrics about betrayal and emotional vulnerability.
  • E. The Last Seduction
    The Last Seduction is a 1994 neo-noir thriller film best known for Linda Fiorentino’s acclaimed performance as a manipulative femme fatale.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded29236dc8190b7d3a37d09f9fb21 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6502d3f081909ff6fa8722769e2e completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.