Triple

T6383102
Position Surface form Disambiguated ID Type / Status
Subject 87th Academy Awards E143632 entity
Predicate bestForeignLanguageFilmWinner P12415 FINISHED
Object Ida E385070 NE 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: Ida | Statement: [87th Academy Awards, bestForeignLanguageFilmWinner, Ida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ida
Context triple: [87th Academy Awards, bestForeignLanguageFilmWinner, Ida]
  • A. Ida
    Ida is the Allied reporting name for the Tachikawa Ki-36, a Japanese World War II army cooperation and light attack aircraft.
  • B. Ida
    Ida is the given name of Ida B. Wells, the pioneering African American journalist, civil rights activist, and anti-lynching crusader.
  • C. Ida
    Ida is one of the Ourea, the primordial Greek mountain deities personifying a specific sacred mountain.
  • D. Ida chosen
    Ida is an irregularly shaped asteroid in the main asteroid belt, notable for being visited by NASA’s Galileo spacecraft and for having its own small moon, Dactyl.
  • E. Ida Scott
    Ida Scott is a character in James Baldwin's novel "Another Country," which explores complex themes of race, sexuality, and identity in mid-20th-century America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06854eb608190acb6bb4dc466f0fc completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638791ce8819081aeec3b11e1c96e completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:34 p.m.