Triple
T21906291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darío Grandinetti |
E540946
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Santa Evita |
—
|
NE NERFINISHED |
How this triple was built (3 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: Santa Evita | Statement: [Darío Grandinetti, notableWork, Santa Evita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Evita Context triple: [Darío Grandinetti, notableWork, Santa Evita]
-
A.
Che in Evita
Che in *Evita* is the sardonic, everyman narrator—often interpreted as a Che Guevara–like figure—who comments critically on Eva Perón’s rise and legacy throughout the musical.
-
B.
Evita
Evita is a popular musical by Andrew Lloyd Webber and Tim Rice that dramatizes the life of Argentine First Lady Eva Perón.
-
C.
Ciudad Evita
Ciudad Evita is a planned suburban city in the Buenos Aires metropolitan area of Argentina, originally developed in the mid-20th century and named in honor of Eva Perón.
-
D.
Don't Cry for Me Argentina
"Don't Cry for Me Argentina" is a famous show tune from Andrew Lloyd Webber and Tim Rice's musical *Evita*, known for its powerful, emotional melody and association with the character of Eva Perón.
-
E.
Mad Juana
Mad Juana is a genre-blending rock band known for its eclectic mix of punk, flamenco, and world music influences, co-founded by Finnish bassist Sami Yaffa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Evita Target entity description: Santa Evita is an Argentine television miniseries that dramatizes the mysterious post-mortem journey of Eva Perón’s embalmed body, blending historical events with fiction.
-
A.
Che in Evita
Che in *Evita* is the sardonic, everyman narrator—often interpreted as a Che Guevara–like figure—who comments critically on Eva Perón’s rise and legacy throughout the musical.
-
B.
Evita
Evita is a popular musical by Andrew Lloyd Webber and Tim Rice that dramatizes the life of Argentine First Lady Eva Perón.
-
C.
Ciudad Evita
Ciudad Evita is a planned suburban city in the Buenos Aires metropolitan area of Argentina, originally developed in the mid-20th century and named in honor of Eva Perón.
-
D.
Don't Cry for Me Argentina
"Don't Cry for Me Argentina" is a famous show tune from Andrew Lloyd Webber and Tim Rice's musical *Evita*, known for its powerful, emotional melody and association with the character of Eva Perón.
-
E.
Mad Juana
Mad Juana is a genre-blending rock band known for its eclectic mix of punk, flamenco, and world music influences, co-founded by Finnish bassist Sami Yaffa.
- F. None of above. chosen
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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d74d388190be58b937c486fa69 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:37 p.m.