Triple

T31525710
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Supporting Actor for The Luck of the Irish E804334 entity
Predicate awardForFilmReleaseYear P73874 FINISHED
Object 1948 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: 1948 | Statement: [Academy Award for Best Supporting Actor for The Luck of the Irish, awardForFilmReleaseYear, 1948]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardForFilmReleaseYear
Context triple: [Academy Award for Best Supporting Actor for The Luck of the Irish, awardForFilmReleaseYear, 1948]
  • A. awardedForYearOfRelease
    Indicates that an award is given in recognition of a work based on the year in which that work was released.
  • B. AcademyAwardsYear
    Indicates the specific year in which the referenced Academy Awards event took place.
  • C. returnedAwardYear
    Indicates the year in which an award that had previously been given was returned or relinquished.
  • D. awardForYear chosen
    Indicates that an award is associated with, or was given in, a specific year.
  • E. yearOfAwardCeremony
    Indicates the specific year in which an award ceremony took place.
  • 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_69f348cf839c81908657048402f7f97b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fb3425666081908916fcbf3b5dd907 completed May 6, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69fb2f5f3164819099429c2cc3d24e01 completed May 6, 2026, 12:09 p.m.
Created at: April 30, 2026, 9:58 p.m.