Triple

T728297
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Picture E14775 entity
Predicate awardTrophyName P16412 FINISHED
Object Oscar statuette E11086 NE FINISHED

How this triple was built (3 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: Oscar statuette | Statement: [Academy Award for Best Picture, awardTrophyName, Oscar statuette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar statuette
Context triple: [Academy Award for Best Picture, awardTrophyName, Oscar statuette]
  • A. Golden Lion
    The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
  • B. Golden Bear
    The Golden Bear is the top prize awarded to the best film at the prestigious Berlin International Film Festival, one of the world’s major annual film festivals.
  • C. Oscar chosen
    The Oscar is a prestigious film industry award presented annually by the Academy of Motion Picture Arts and Sciences to honor outstanding cinematic achievements.
  • D. OSCAR
    OSCAR is the proprietary messaging protocol developed by AOL to power its real-time chat and presence services across products like AIM and ICQ.
  • E. Silver Bear
    The Silver Bear is one of the top prizes awarded at the Berlin International Film Festival, recognizing outstanding achievements in various categories such as acting, directing, and artistic contribution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardTrophyName
Context triple: [Academy Award for Best Picture, awardTrophyName, Oscar statuette]
  • A. awardName
    Indicates the specific name or title of an award associated with an entity.
  • B. awardSymbol chosen
    Indicates that one entity serves as the symbolic representation or emblem associated with a particular award given to another entity.
  • C. awardType
    Indicates the specific category or kind of award associated with an entity or event.
  • D. awardFor
    Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
  • E. awardReceived
    Indicates that an entity has been granted or honored with a specific award or recognition.
  • F. None of above.

Provenance (4 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64adf2c81908e48090be35dd9d9 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d936bbc81908708ee5d0fc82100 completed March 3, 2026, 5:11 a.m.
PD Predicate disambiguation batch_69a4a4f839608190878a60eb7a044ed9 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.