Triple

T22427420
Position Surface form Disambiguated ID Type / Status
Subject Room E554407 entity
Predicate oscarCategoryNomination P6104 FINISHED
Object Best Picture LITERAL 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: Best Picture | Statement: [Room, oscarCategoryNomination, Best Picture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oscarCategoryNomination
Context triple: [Room, oscarCategoryNomination, Best Picture]
  • A. oscarCategoryWon
    Indicates that an entity has won an Academy Award in the specified Oscar category.
  • B. oscarAward
    Indicates that an entity has received or been honored with an Academy Award (Oscar).
  • C. academyAwardNominations chosen
    Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
  • D. nominatedIn
    Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
  • E. screenActorsGuildAwardNominationFor
    Indicates that an entity received a nomination for a Screen Actors Guild Award for a particular work or performance.
  • F. None of above.

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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2e438481908d43026727afa709 completed April 29, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.