Triple
T14640314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandidas |
E343703
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
María Álvarez
María Álvarez is one of the two central bank-robbing heroines in the 2006 Western comedy film "Bandidas," portrayed by Penélope Cruz.
|
E1306246
|
NE FINISHED |
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: María Álvarez Context triple: [Bandidas, mainCharacter, María Álvarez]
-
A.
María García
María García is a widely occurring Spanish personal name shared by numerous women across Spanish-speaking countries, making it one of the most common Hispanic name combinations.
-
B.
María Benítez
María Benítez is a notable individual distinguished enough in her field or public life to be recognized as a prominent bearer of the Benítez surname.
-
C.
María Barranco
María Barranco is a Spanish actress best known for her work in Pedro Almodóvar’s films and for her acclaimed performances in late-20th-century Spanish cinema.
-
D.
Rosa García
Rosa García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname García.
-
E.
María Cortés
María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: María Álvarez Triple: [Bandidas, mainCharacter, María Álvarez]
Generated description
María Álvarez is one of the two central bank-robbing heroines in the 2006 Western comedy film "Bandidas," portrayed by Penélope Cruz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: María Álvarez Target entity description: María Álvarez is one of the two central bank-robbing heroines in the 2006 Western comedy film "Bandidas," portrayed by Penélope Cruz.
-
A.
María García
María García is a widely occurring Spanish personal name shared by numerous women across Spanish-speaking countries, making it one of the most common Hispanic name combinations.
-
B.
María Benítez
María Benítez is a notable individual distinguished enough in her field or public life to be recognized as a prominent bearer of the Benítez surname.
-
C.
María Barranco
María Barranco is a Spanish actress best known for her work in Pedro Almodóvar’s films and for her acclaimed performances in late-20th-century Spanish cinema.
-
D.
Rosa García
Rosa García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname García.
-
E.
María Cortés
María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
- F. None of above. chosen
Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1ca5408190ba46c0ce5515062a |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037ca6f5888190b0ed34777aae862f |
completed | May 12, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037d319be48190b01a1b8d1f239078 |
completed | May 12, 2026, 7:19 p.m. |
Created at: April 10, 2026, 1:26 a.m.