Triple

T16627902
Position Surface form Disambiguated ID Type / Status
Subject Mark Goldblatt E403998 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: [Mark Goldblatt, notableWork, True Lies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: True Lies
Context triple: [Mark Goldblatt, 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e2683481908c9a5ed895a09a6e completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dba91bc819090a78ac4c0c01fc8 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.