Triple

T16673427
Position Surface form Disambiguated ID Type / Status
Subject Cherilyn Sarkisian E405158 entity
Predicate hasWonEGOTComponent P53972 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: [Cherilyn Sarkisian, hasWonEGOTComponent, Oscar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar
Context triple: [Cherilyn Sarkisian, hasWonEGOTComponent, Oscar]
  • A. 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.
  • B. 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.
  • 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 NATO reporting name for a class of large, nuclear-powered guided-missile submarines originally built by the Soviet Navy and now operated by the Russian Navy.
  • E. 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.
  • 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: hasWonEGOTComponent
Context triple: [Cherilyn Sarkisian, hasWonEGOTComponent, Oscar]
  • A. hasWonEGOT
    Indicates that an individual has won all four major entertainment awards: an Emmy, a Grammy, an Oscar, and a Tony.
  • B. hasAwardShow
    Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
  • C. hasAudienceAwardComponent
    Indicates that something includes or is associated with an award component specifically determined by an audience or public vote.
  • D. hasEmmyWinningRole
    Indicates that an entity has performed a role for which they (or the role) received an Emmy Award.
  • E. hasAwardConnection chosen
    Indicates a relationship where an entity is connected to an award, such as by receiving, being nominated for, or otherwise associated with that award.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6904008190a79ab30b6d9ccae9 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3916508190bd5edd91310ddb5a completed May 10, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69e319bc73908190a0e38bc926b31f10 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.