Triple
T20493075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mañana es para siempre |
E502796
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | María Rojo |
—
|
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: María Rojo | Statement: [Mañana es para siempre, starring, María Rojo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: María Rojo Context triple: [Mañana es para siempre, starring, María Rojo]
-
A.
María Rojo
chosen
María Rojo is a renowned Mexican actress and politician known for her work in film, television, and public service.
-
B.
María Belón
María Belón is a Spanish physician and survivor of the 2004 Indian Ocean tsunami whose real-life experience inspired the film "The Impossible."
-
C.
María Navarro
María Navarro is a Spanish-language given name and surname combination shared by various notable figures in fields such as politics, academia, and the arts.
-
D.
Rosa García
Rosa García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname García.
-
E.
Carmen Calvo
Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.