Triple

T15311895
Position Surface form Disambiguated ID Type / Status
Subject Magic Mike E366057 entity
Predicate director P255 FINISHED
Object Steven Soderbergh E199780 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: Steven Soderbergh | Statement: [Magic Mike, director, Steven Soderbergh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Soderbergh
Context triple: [Magic Mike, director, Steven Soderbergh]
  • A. Steven Soderbergh chosen
    Steven Soderbergh is an Academy Award–winning American filmmaker known for his innovative, genre-spanning work in films such as "Sex, Lies, and Videotape," the "Ocean's" trilogy, and "Traffic."
  • B. Stephen Gaghan
    Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
  • C. David Fincher
    David Fincher is an acclaimed American film director and producer known for his dark, stylish thrillers such as Se7en, Fight Club, and The Social Network.
  • D. Paul Thomas Anderson
    Paul Thomas Anderson is an acclaimed American filmmaker known for his character-driven, stylistically distinctive films such as "Boogie Nights," "Magnolia," and "There Will Be Blood."
  • E. Gus Van Sant
    Gus Van Sant is an American filmmaker known for his distinctive independent cinema style and acclaimed films such as "Good Will Hunting," "Milk," and "My Own Private Idaho."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a3da3881909b50cfbec0543adc completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.