Triple
T22237101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Go to Rio |
E549619
|
entity |
| Predicate | title |
P38
|
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: [I Go to Rio, title, I Go to Rio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Go to Rio Context triple: [I Go to Rio, title, 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13210eb9c8190bc40d06c393e0d9a |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.