Triple

T57247
Position Surface form Disambiguated ID Type / Status
Subject Oppenheimer (2023 film) E1131 entity
Predicate awardReceived P11 FINISHED
Object Academy Award for Best Film Editing E2155 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: Academy Award for Best Film Editing | Statement: [Oppenheimer (2023 film), awardReceived, Academy Award for Best Film Editing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Film Editing
Context triple: [Oppenheimer (2023 film), awardReceived, Academy Award for Best Film Editing]
  • A. Academy Award chosen
    The Academy Award is a prestigious film industry honor presented annually by the Academy of Motion Picture Arts and Sciences to recognize excellence in cinematic achievements.
  • B. Emmy Award
    The Emmy Award is a prestigious American television accolade recognizing excellence in various sectors of the television industry, including entertainment, news, and documentary programming.
  • C. Peabody Award
    The Peabody Award is a prestigious American honor recognizing excellence and integrity in broadcast and digital storytelling across radio, television, and online media.
  • D. Grammy Award
    The Grammy Award is a prestigious music industry honor presented annually by the Recording Academy to recognize outstanding achievements in the recording arts.
  • E. Yurii Rubinsky Memorial Award
    The Yurii Rubinsky Memorial Award is a recognition in the field of digital media and hypertext, honoring individuals who have made significant contributions to the development and promotion of open, accessible electronic publishing.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b1bf2c081908f20e13939b713ff completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e67187c8190950aec5d9f8ecc60 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.