Triple

T4400868
Position Surface form Disambiguated ID Type / Status
Subject Eva E93610 entity
Predicate shortFormOf P43 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: [Eva, shortFormOf, Evita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evita
Context triple: [Eva, shortFormOf, 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. 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.
  • C. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • D. Viva
    Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
  • E. Bohemian Rhapsody
    Bohemian Rhapsody is a 2018 biographical drama film about the rock band Queen and its lead singer Freddie Mercury, charting their rise to fame and the creation of their iconic music.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cd71ec8190a62320fd072f744f completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5f788d081909406a938337bd05a completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.