Triple
T14268137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angie Cepeda |
E353703
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Lorna Cepeda
Lorna Cepeda is a Colombian actress best known for her comedic role as Patricia Fernández in the popular telenovela "Yo soy Betty, la fea."
|
E1158726
|
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: Lorna Cepeda | Statement: [Angie Cepeda, hasRelative, Lorna Cepeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorna Cepeda Context triple: [Angie Cepeda, hasRelative, Lorna Cepeda]
-
A.
Karen Peralta
Karen Peralta is a character in the television series "Brooklyn Nine-Nine," known as the mother of main protagonist Jake Peralta.
-
B.
Patricia Alvaran
Patricia Alvaran is known as the former wife of American actor Tom Berenger.
-
C.
Felicia Montealegre
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
D.
Sharlene San Pedro
Sharlene San Pedro is a Filipino actress, television host, and former child star best known for her work on ABS-CBN shows and various films in the Philippines.
-
E.
Evelyn Lozada
Evelyn Lozada is an American reality television personality, model, and entrepreneur best known as one of the central figures on VH1’s "Basketball Wives."
- 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: Lorna Cepeda Triple: [Angie Cepeda, hasRelative, Lorna Cepeda]
Generated description
Lorna Cepeda is a Colombian actress best known for her comedic role as Patricia Fernández in the popular telenovela "Yo soy Betty, la fea."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorna Cepeda Target entity description: Lorna Cepeda is a Colombian actress best known for her comedic role as Patricia Fernández in the popular telenovela "Yo soy Betty, la fea."
-
A.
Karen Peralta
Karen Peralta is a character in the television series "Brooklyn Nine-Nine," known as the mother of main protagonist Jake Peralta.
-
B.
Patricia Alvaran
Patricia Alvaran is known as the former wife of American actor Tom Berenger.
-
C.
Felicia Montealegre
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
D.
Sharlene San Pedro
Sharlene San Pedro is a Filipino actress, television host, and former child star best known for her work on ABS-CBN shows and various films in the Philippines.
-
E.
Evelyn Lozada
Evelyn Lozada is an American reality television personality, model, and entrepreneur best known as one of the central figures on VH1’s "Basketball Wives."
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce36ce08190930e791e2837d1a5 |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2d8849048190b8bd558feceb21cb |
completed | May 9, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2eebae6481908cba15bff63e641d |
completed | May 9, 2026, 12:56 p.m. |
Created at: April 10, 2026, 1:10 a.m.