Triple

T6844378
Position Surface form Disambiguated ID Type / Status
Subject Hollywood Pictures E157854 entity
Predicate notableFilm P22 FINISHED
Object Evita E109717 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: Evita | Statement: [Hollywood Pictures, notableFilm, Evita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evita
Context triple: [Hollywood Pictures, notableFilm, Evita]
  • A. Evita chosen
    Evita is a popular musical by Andrew Lloyd Webber and Tim Rice that dramatizes the life of Argentine First Lady Eva Perón.
  • B. The Fabulous Shirley Bassey
    The Fabulous Shirley Bassey is an early studio album by Welsh singer Shirley Bassey that showcases her powerful vocal style and helped establish her as a major pop and cabaret star.
  • C. Private Dancer
    "Private Dancer" is Tina Turner's critically acclaimed 1984 comeback album that revitalized her career and became one of the defining pop records of the decade.
  • D. The Boy from Oz
    The Boy from Oz is a jukebox musical based on the life and songs of Australian entertainer Peter Allen, famously starring Hugh Jackman in its Broadway production.
  • E. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b8627081908e34d2b942d08aef completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fbf06008190a8c342d3d7dec930 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:19 p.m.