Triple
T20493070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mañana es para siempre |
E502796
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Yuliana Peniche
Yuliana Peniche is a Mexican actress best known for her roles in popular telenovelas.
|
E1486937
|
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: Yuliana Peniche | Statement: [Mañana es para siempre, starring, Yuliana Peniche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuliana Peniche Context triple: [Mañana es para siempre, starring, Yuliana Peniche]
-
A.
Natalia Chacón
Natalia Chacón was the wife of Mexican president Plutarco Elías Calles and served as Mexico’s First Lady during his administration in the 1920s.
-
B.
Paulina Dávila
Paulina Dávila is a Colombian actress known for her work in Latin American film and television, including prominent roles in biographical and dramatic series.
-
C.
Silvia Lemus
Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
-
D.
Catalina Álvarez
Catalina Álvarez is a Colombian fashion designer and entrepreneur best known as the co-founder of the swimwear and resortwear brand Agua Bendita.
-
E.
Ximena Lamadrid
Ximena Lamadrid is a Mexican actress known for her work in film and television, including roles in international productions.
- 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: Yuliana Peniche Triple: [Mañana es para siempre, starring, Yuliana Peniche]
Generated description
Yuliana Peniche is a Mexican actress best known for her roles in popular telenovelas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuliana Peniche Target entity description: Yuliana Peniche is a Mexican actress best known for her roles in popular telenovelas.
-
A.
Natalia Chacón
Natalia Chacón was the wife of Mexican president Plutarco Elías Calles and served as Mexico’s First Lady during his administration in the 1920s.
-
B.
Paulina Dávila
Paulina Dávila is a Colombian actress known for her work in Latin American film and television, including prominent roles in biographical and dramatic series.
-
C.
Silvia Lemus
Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
-
D.
Catalina Álvarez
Catalina Álvarez is a Colombian fashion designer and entrepreneur best known as the co-founder of the swimwear and resortwear brand Agua Bendita.
-
E.
Ximena Lamadrid
Ximena Lamadrid is a Mexican actress known for her work in film and television, including roles in international productions.
- 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_6a09cfd76e4081908de738aa0184c8d3 |
completed | May 17, 2026, 2:25 p.m. |
| NEDg | Description generation | batch_6a09d3c93fc08190a58e1e039ca1b419 |
completed | May 17, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d42e65d881908d4d2731a9de0cf5 |
completed | May 17, 2026, 2:43 p.m. |
Created at: April 16, 2026, 11:35 a.m.