Triple

T5442469
Position Surface form Disambiguated ID Type / Status
Subject 1st Academy Awards E122166 entity
Predicate statuetteNickname 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: [1st Academy Awards, statuetteNickname, Oscar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar
Context triple: [1st Academy Awards, statuetteNickname, 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 Allied reporting name for the Nakajima Ki-43, a Japanese World War II fighter aircraft used extensively by the Imperial Japanese Army Air Service.
  • C. Oscar
    Oscar is a masculine given name of Old English and Norse origin, commonly used in many European and English-speaking countries.
  • 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. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • 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: statuetteNickname
Context triple: [1st Academy Awards, statuetteNickname, Oscar]
  • A. statuetteShape
    Indicates that one entity has the physical form or outline of a statuette.
  • B. hasStatueNickname chosen
    Indicates that an entity (typically a statue) is known or referred to by a particular nickname.
  • C. statueName
    Indicates that a statue has a specific name or title associated with it.
  • D. hasStatue
    Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
  • E. nicknamedFor
    Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd922f66bc8190b7d47fd68d2fcf2e completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41302d588190afa5906d0e3dd891 completed March 22, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69bd919aeb048190b786f814177d6cd9 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:07 p.m.