Triple

T6121793
Position Surface form Disambiguated ID Type / Status
Subject Alan Parker E136501 entity
Predicate directed P7373 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: [Alan Parker, directed, Evita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evita
Context triple: [Alan Parker, directed, 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bf16ad48190958cc46510e02bd3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125739cd8819081f2c860566f62bf completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.