Triple
T19969374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rui Rio |
E480028
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Rio | Statement: [Rui Rio, familyName, Rio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Context triple: [Rui Rio, familyName, Rio]
-
A.
Rio
"Rio" is a song featured on Mika's album "No Place in Heaven."
-
B.
Rio
chosen
Rio is a masculine given name used in various cultures, often associated with the Spanish and Portuguese word for "river" and popularized by figures in sports and entertainment.
-
C.
Rio
"Rio" is a notable work by Harry Hitner, recognized as one of his significant creative contributions.
-
D.
Rio
Rio is a creative work associated with Todd R. Jones, likely a notable project or production that contributed to his recognition.
-
E.
Rio
Rio is a section of the Brazilian newspaper O Globo that focuses on news, events, and issues related to the city of Rio de Janeiro.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc7c2fc81909b89c549a5f99e4c |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.