Triple

T20818728
Position Surface form Disambiguated ID Type / Status
Subject Vadim Perelman E512512 entity
Predicate directed P7373 FINISHED
Object Buy Me 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: Buy Me | Statement: [Vadim Perelman, directed, Buy Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buy Me
Context triple: [Vadim Perelman, directed, Buy Me]
  • A. Buy Me chosen
    "Buy Me" is a film directed by Vadim Perelman, known for its dramatic exploration of ambition, morality, and the costs of material desire.
  • B. Get Me Some
    "Get Me Some" is a song by the American rock band Weezer from their 2009 album *Raditude*.
  • C. If You Can Afford Me
    "If You Can Afford Me" is a pop song by American singer Katy Perry from her breakthrough 2008 album "One of the Boys," noted for its sassy lyrics about self-worth and relationships.
  • D. Better Me
    "Better Me" is a song featured on Keyshia Cole’s R&B album "Calling All Hearts."
  • E. Sell Me Candy
    "Sell Me Candy" is a sultry, Latin-tinged pop and R&B track by Rihanna from her 2007 album *Good Girl Gone Bad*.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f5b1e08190a9c26f76bd544b68 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.