Triple
T23074103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl from Brazil |
E575278
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | The Girl from Brazil |
—
|
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: The Girl from Brazil | Statement: [The Girl from Brazil, hasTitle, The Girl from Brazil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Girl from Brazil Context triple: [The Girl from Brazil, hasTitle, The Girl from Brazil]
-
A.
The Girl from Brazil
chosen
"The Girl from Brazil" is a novel by British-American writer Guy Bolton, best known for his work in theatre and popular fiction.
-
B.
The Girl from Rio
The Girl from Rio is a 1927 silent romantic drama film starring Rod La Rocque, set against a vibrant South American backdrop.
-
C.
That Man from Rio
That Man from Rio is a 1964 French adventure-comedy film starring Jean-Paul Belmondo, known for its fast-paced, globe-trotting plot and influence on later action movies.
-
D.
The Girl from Mexico
The Girl from Mexico is a 1939 comedy film that introduced the character and premise that later evolved into the popular Mexican Spitfire film series.
-
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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.