Triple
T20493197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi corazón es tuyo |
E502799
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Jorge Salinas
Jorge Salinas is a Mexican actor best known for his leading roles in popular telenovelas.
|
E1458671
|
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: Jorge Salinas | Statement: [Mi corazón es tuyo, leadActor, Jorge Salinas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jorge Salinas Context triple: [Mi corazón es tuyo, leadActor, Jorge Salinas]
-
A.
Héctor Valenzuela
Héctor Valenzuela is a notable individual who bears the surname Valenzuela, recognized for contributing to the name’s prominence.
-
B.
Sergio Valenzuela
Sergio Valenzuela is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Valenzuela surname.
-
C.
Enrique Cerezo
Enrique Cerezo is a Spanish film producer and businessman best known for serving as the long-time president of Atlético de Madrid football club.
-
D.
Jorge Romo
Jorge Romo is a notable individual recognized for achievements significant enough to be associated with the surname Romo.
-
E.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
- 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: Jorge Salinas Triple: [Mi corazón es tuyo, leadActor, Jorge Salinas]
Generated description
Jorge Salinas is a Mexican actor best known for his leading roles in popular telenovelas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jorge Salinas Target entity description: Jorge Salinas is a Mexican actor best known for his leading roles in popular telenovelas.
-
A.
Héctor Valenzuela
Héctor Valenzuela is a notable individual who bears the surname Valenzuela, recognized for contributing to the name’s prominence.
-
B.
Sergio Valenzuela
Sergio Valenzuela is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Valenzuela surname.
-
C.
Enrique Cerezo
Enrique Cerezo is a Spanish film producer and businessman best known for serving as the long-time president of Atlético de Madrid football club.
-
D.
Jorge Romo
Jorge Romo is a notable individual recognized for achievements significant enough to be associated with the surname Romo.
-
E.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
- 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_6a092770f2808190a58afbf4a3cd836a |
completed | May 17, 2026, 2:26 a.m. |
| NEDg | Description generation | batch_6a09282809588190b8dc9893816b5c47 |
completed | May 17, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a092896b75881909d5145ccaef0cd7e |
completed | May 17, 2026, 2:31 a.m. |
Created at: April 16, 2026, 11:35 a.m.