Triple

T20593032
Position Surface form Disambiguated ID Type / Status
Subject The Rebel E505978 entity
Predicate alternativeTitle P39 FINISHED
Object Call Me a Liar 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: Call Me a Liar | Statement: [The Rebel, alternativeTitle, Call Me a Liar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Call Me a Liar
Context triple: [The Rebel, alternativeTitle, Call Me a Liar]
  • A. Call Me a Liar chosen
    Call Me a Liar is an alternative title for the film "The Rebel," a British comedy-drama starring Tony Hancock as an office worker who pursues a misguided career as a modern artist.
  • B. I Was Only Telling a Lie
    "I Was Only Telling a Lie" is a song by American singer-songwriter James Taylor.
  • C. I’m a Liar
    "I'm a Liar" is a song by Mexican singer-songwriter Alejandro Fernández from his pop album "On a Day Like Today."
  • D. Pack of Lies
    Pack of Lies is a stage play by Hugh Whitemore that dramatizes the true story of a suburban British couple whose friends are unmasked as Soviet spies.
  • E. Telling Lies
    Telling Lies is a non-fiction book by psychologist Paul Ekman that explores the psychology, science, and detection of human deception.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a97d63cc8190853e052d5930470d completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.