Triple
T20492977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuando seas mía |
E502793
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Fabiana Perzabal
Fabiana Perzabal is an actress best known for her role in the Mexican telenovela "Cuando seas mía."
|
E1436642
|
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: Fabiana Perzabal | Statement: [Cuando seas mía, castMember, Fabiana Perzabal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabiana Perzabal Context triple: [Cuando seas mía, castMember, Fabiana Perzabal]
-
A.
Luciana Souza
Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
-
B.
Fabiana Udenio
Fabiana Udenio is an Italian-Argentinian actress best known for her comedic and character roles in film and television, including a memorable turn in the Austin Powers franchise.
-
C.
Paz Ferreira
Paz Ferreira is the wife of retired Uruguayan football star Diego Forlán.
-
D.
Clara Pazzini
Clara Pazzini is an actress known for her role in the Italian film "La cena di Natale."
-
E.
Mariana Bracetti
Mariana Bracetti was a 19th-century Puerto Rican independence activist best known for her prominent role in the island’s early revolutionary movement against Spanish colonial rule.
- 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: Fabiana Perzabal Triple: [Cuando seas mía, castMember, Fabiana Perzabal]
Generated description
Fabiana Perzabal is an actress best known for her role in the Mexican telenovela "Cuando seas mía."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabiana Perzabal Target entity description: Fabiana Perzabal is an actress best known for her role in the Mexican telenovela "Cuando seas mía."
-
A.
Luciana Souza
Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
-
B.
Fabiana Udenio
Fabiana Udenio is an Italian-Argentinian actress best known for her comedic and character roles in film and television, including a memorable turn in the Austin Powers franchise.
-
C.
Paz Ferreira
Paz Ferreira is the wife of retired Uruguayan football star Diego Forlán.
-
D.
Clara Pazzini
Clara Pazzini is an actress known for her role in the Italian film "La cena di Natale."
-
E.
Mariana Bracetti
Mariana Bracetti was a 19th-century Puerto Rican independence activist best known for her prominent role in the island’s early revolutionary movement against Spanish colonial rule.
- 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_6a08a557affc8190b542d74d7171f5fb |
completed | May 16, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_6a08a5f279c88190833e04a69e9839a6 |
completed | May 16, 2026, 5:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a67f37f08190a50c377042c44a6f |
completed | May 16, 2026, 5:16 p.m. |
Created at: April 16, 2026, 11:35 a.m.