Triple

T914034
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Actress E19726 entity
Predicate hasStatueNickname P22886 FINISHED
Object Oscar 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 | Statement: [Academy Award for Best Actress, hasStatueNickname, Oscar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar
Context triple: [Academy Award for Best Actress, hasStatueNickname, Oscar]
  • A. 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.
  • B. 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.
  • C. Emmy
    Emmy is the affectionate nickname of Emmy Noether, the pioneering German mathematician renowned for her groundbreaking contributions to abstract algebra and theoretical physics.
  • D. Emmy
    Emmy is the iconic winged woman holding an atom statuette that serves as the symbol and trophy for the Primetime Emmy Awards.
  • E. 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.
  • 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: hasStatueNickname
Context triple: [Academy Award for Best Actress, hasStatueNickname, Oscar]
  • A. hasStatue
    Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
  • B. statueHeight
    Indicates the height measurement of a statue in some specified unit.
  • C. monumentProclamationYear
    Indicates the year in which a monument was officially proclaimed or designated as such.
  • D. stateNickname
    Indicates that one entity is the commonly used nickname or informal moniker for a given state.
  • E. hasIconicStatus
    Indicates that an entity holds a widely recognized, emblematic, or culturally significant status within a particular domain or context.
  • F. None of above. chosen

Provenance (5 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b6755c488190b7f7848110e3ea2c completed March 1, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5e59588190b9d2bb00adf5c871 completed March 4, 2026, 6:21 a.m.
PD Predicate disambiguation batch_69a4b292d3408190947cbc2f794cf8c5 completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b67499708190a65f24d1fd7e4ec5 completed March 1, 2026, 9:58 p.m.
Created at: March 1, 2026, 7:39 p.m.