Triple

T15781033
Position Surface form Disambiguated ID Type / Status
Subject 75th Academy Awards E382613 entity
Predicate bestOriginalScoreWinner P10678 FINISHED
Object Frida E346456 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: Frida | Statement: [75th Academy Awards, bestOriginalScoreWinner, Frida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frida
Context triple: [75th Academy Awards, bestOriginalScoreWinner, Frida]
  • A. Frida
    Frida is a Swedish pop singer best known as a member of the iconic group ABBA and for her successful solo career.
  • B. Frida chosen
    Frida is a 2002 biographical drama film about Mexican painter Frida Kahlo, noted for its vivid visual style and acclaimed performances.
  • C. Amores perros
    Amores perros is a critically acclaimed 2000 Mexican drama film that interweaves three stories connected by a car accident, noted for its gritty realism and nonlinear narrative.
  • D. Juliá
    Juliá is a Spanish-origin surname notably borne by the late Puerto Rican actor Raúl Juliá.
  • E. The Book of Life
    The Book of Life is a 2014 animated fantasy film that follows a young man’s journey through the Land of the Remembered and the Land of the Forgotten, blending Mexican folklore with a vibrant visual style.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12d6f388190b61cdc7820ce6311 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:48 a.m.