Triple

T1105473
Position Surface form Disambiguated ID Type / Status
Subject Mila Kunis E25478 entity
Predicate appearedIn P795 FINISHED
Object Black Swan E48012 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: Black Swan | Statement: [Mila Kunis, appearedIn, Black Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Swan
Context triple: [Mila Kunis, appearedIn, Black Swan]
  • A. Black Swan chosen
    Black Swan is a 2010 psychological horror thriller film directed by Darren Aronofsky, following a troubled ballerina’s descent into madness as she prepares for a demanding lead role.
  • B. Moulin Rouge
    Moulin Rouge is a famous Parisian cabaret known for its iconic red windmill, lavish shows, and role in popularizing the modern can-can dance.
  • C. The Dance
    The Dance is a famous early 20th-century painting by Henri Matisse that depicts a circle of nude figures dancing against a vivid, simplified landscape, exemplifying his bold use of color and form in Fauvism.
  • D. The Black Swan
    The Black Swan is a 1942 swashbuckling Technicolor adventure film starring Tyrone Power as a reformed pirate caught in a tale of romance and high-seas intrigue.
  • E. Moonlight
    Moonlight is a critically acclaimed 2016 coming-of-age drama film that explores themes of identity, sexuality, and race through the life of a young Black man growing up in Miami.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5391a4a88190b7ef6993b2b85b08 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.