Triple

T23430976
Position Surface form Disambiguated ID Type / Status
Subject Peter Richard Woolnough E563328 entity
Predicate notableWork P4 FINISHED
Object I Go to Rio NE NERFINISHED

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: I Go to Rio | Statement: [Peter Richard Woolnough, notableWork, I Go to Rio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Go to Rio
Context triple: [Peter Richard Woolnough, notableWork, I Go to Rio]
  • A. I Go to Rio chosen
    "I Go to Rio" is a lively pop song by Australian singer-songwriter Peter Allen, best known for its upbeat celebration of Rio de Janeiro and its enduring popularity as a feel-good anthem.
  • B. Morning in Rio
    "Morning in Rio" is a jazz track by pianist Chick Corea featured on his 1969 album *Encanto*.
  • C. Flying Down to Rio
    Flying Down to Rio is a 1933 Hollywood musical film best known for featuring the first on-screen pairing of Fred Astaire and Ginger Rogers, helping launch their legendary dance partnership.
  • D. Girl from Rio
    "Girl from Rio" is a 2021 pop song by Brazilian singer Anitta that blends modern production with bossa nova influences and references to her hometown of Rio de Janeiro.
  • E. Girl from Rio
    "Girl from Rio" is a film featuring actress Movita Castaneda, known for showcasing her talents in a Latin-themed musical romance setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d8130881909e4f3455afef1804 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:49 p.m.