Triple
T19464350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Rita (1929 film) |
E486953
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Rio Rita |
—
|
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 Rita | Statement: [Rio Rita (1929 film), basedOn, Rio Rita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Rita Context triple: [Rio Rita (1929 film), basedOn, Rio Rita]
-
A.
Rio Rita
chosen
Rio Rita is a popular early 20th-century musical comedy that became one of Broadway’s notable hits and was later adapted into successful film versions.
-
B.
Santa Rita
Santa Rita is a municipality in the province of Pampanga in the Philippines, known for its agricultural products and traditional local festivals.
-
C.
Santa Rita
Santa Rita is a municipality and town located in the Cortés Department of northwestern Honduras.
-
D.
Santa Rita
Santa Rita is a municipality in the Brazilian state of Paraíba, known for its proximity to the state capital João Pessoa and its role in the region’s industrial and economic activities.
-
E.
Santa Rita
Santa Rita is a residential district in the city of Turin, Italy, known for its urban character and proximity to major sports and public facilities.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633d0fe3c8190b637f78bfad704d0 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.