Triple

T8035914
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Pryce E187105 entity
Predicate work P12692 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: [Jonathan Pryce, work, Evita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evita
Context triple: [Jonathan Pryce, work, 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. Miss Saigon
    Miss Saigon is a hit musical by Claude-Michel Schönberg and Alain Boublil that reimagines the story of Madame Butterfly during the Vietnam War, known for its powerful score and dramatic staging.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cb39a48190b4d987295b5aa1b2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:22 p.m.