Triple
T20493210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi corazón es tuyo |
E502799
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Luz Edith Rojas
Luz Edith Rojas is an actress known for her role in the Mexican telenovela "Mi corazón es tuyo."
|
E1435145
|
NE FINISHED |
How this triple was built (4 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: Luz Edith Rojas | Statement: [Mi corazón es tuyo, castMember, Luz Edith Rojas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luz Edith Rojas Context triple: [Mi corazón es tuyo, castMember, Luz Edith Rojas]
-
A.
Patricia Rojas
Patricia Rojas is a notable individual recognized for achievements associated with the surname Rojas.
-
B.
Patricia Velásquez
Patricia Velásquez is a Venezuelan actress and model best known for her roles in films such as The Mummy franchise and various international television and movie productions.
-
C.
Rosa Margarita Villalta
Rosa Margarita Villalta is the wife of former Salvadoran president Salvador Sánchez Cerén and served as First Lady of El Salvador.
-
D.
Martha Paiz
Martha Paiz is known as the wife of American musician and Creedence Clearwater Revival frontman John Fogerty.
-
E.
Isabel Blandón
Isabel Blandón is best known as the wife of Cuban revolutionary figure Camilo Cienfuegos.
- 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: Luz Edith Rojas Triple: [Mi corazón es tuyo, castMember, Luz Edith Rojas]
Generated description
Luz Edith Rojas is an actress known for her role in the Mexican telenovela "Mi corazón es tuyo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luz Edith Rojas Target entity description: Luz Edith Rojas is an actress known for her role in the Mexican telenovela "Mi corazón es tuyo."
-
A.
Patricia Rojas
Patricia Rojas is a notable individual recognized for achievements associated with the surname Rojas.
-
B.
Patricia Velásquez
Patricia Velásquez is a Venezuelan actress and model best known for her roles in films such as The Mummy franchise and various international television and movie productions.
-
C.
Rosa Margarita Villalta
Rosa Margarita Villalta is the wife of former Salvadoran president Salvador Sánchez Cerén and served as First Lady of El Salvador.
-
D.
Martha Paiz
Martha Paiz is known as the wife of American musician and Creedence Clearwater Revival frontman John Fogerty.
-
E.
Isabel Blandón
Isabel Blandón is best known as the wife of Cuban revolutionary figure Camilo Cienfuegos.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d2ff2c081908f7ccc4ef2767d14 |
completed | May 16, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a089dd1abd08190a662efd4a23eacba |
completed | May 16, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089e76035c8190b1b48d102f710fdd |
completed | May 16, 2026, 4:42 p.m. |
Created at: April 16, 2026, 11:35 a.m.