Triple

T10494298
Position Surface form Disambiguated ID Type / Status
Subject Natalie Portman E247494 entity
Predicate notableWork P4 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: [Natalie Portman, notableWork, Black Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Swan
Context triple: [Natalie Portman, notableWork, 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. Black Swan Pas de deux
    Black Swan Pas de deux is the famous virtuosic duet from Tchaikovsky’s ballet Swan Lake, danced by Odile and Prince Siegfried in the third act.
  • C. Black swan
    The black swan is a large waterbird native to Australia, notable for its striking black plumage and red bill, and widely used as an emblem in Australian heraldry and symbolism.
  • D. 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.
  • E. White Swan
    The "White Swan" is the elegant, white Baroque-style Kaunas Town Hall in Lithuania, renowned for its slender tower and historic role as a civic landmark.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99884c70481909fb45b7598f84c64 completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 12:24 p.m.