Triple
T18048758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Miguel: La Serie |
E431870
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Carla González Vargas
Carla González Vargas is a television producer best known for her executive production work on the biographical series "Luis Miguel: La Serie."
|
E1365293
|
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: Carla González Vargas | Statement: [Luis Miguel: La Serie, executiveProducer, Carla González Vargas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carla González Vargas Context triple: [Luis Miguel: La Serie, executiveProducer, Carla González Vargas]
-
A.
Carla Jimenez
Carla Jimenez is an American actress best known for her comedic television roles, including a main role on the sitcom "The Mick."
-
B.
Carolina Ruiz Castillo
Carolina Ruiz Castillo is a Spanish alpine skier best known for winning the super-G gold medal at the 2013 World Championships.
-
C.
Carla Espinosa
Carla Espinosa is a compassionate and assertive nurse from the television series "Scrubs," known for her strong moral compass and no-nonsense attitude.
-
D.
María Romo
María Romo is a Spanish actress known for her work in film and television.
-
E.
Macarena García
Macarena García is a Spanish actress best known for her acclaimed performance in the silent black-and-white film "Blancanieves."
- 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: Carla González Vargas Triple: [Luis Miguel: La Serie, executiveProducer, Carla González Vargas]
Generated description
Carla González Vargas is a television producer best known for her executive production work on the biographical series "Luis Miguel: La Serie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carla González Vargas Target entity description: Carla González Vargas is a television producer best known for her executive production work on the biographical series "Luis Miguel: La Serie."
-
A.
Carla Jimenez
Carla Jimenez is an American actress best known for her comedic television roles, including a main role on the sitcom "The Mick."
-
B.
Carolina Ruiz Castillo
Carolina Ruiz Castillo is a Spanish alpine skier best known for winning the super-G gold medal at the 2013 World Championships.
-
C.
Carla Espinosa
Carla Espinosa is a compassionate and assertive nurse from the television series "Scrubs," known for her strong moral compass and no-nonsense attitude.
-
D.
María Romo
María Romo is a Spanish actress known for her work in film and television.
-
E.
Macarena García
Macarena García is a Spanish actress best known for her acclaimed performance in the silent black-and-white film "Blancanieves."
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff39394819080407e1614bd5da9 |
completed | April 19, 2026, 11:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700c58c008190be11ddd0c0d13595 |
completed | May 15, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a07026b3cd08190b595dd7c724ff5e0 |
completed | May 15, 2026, 11:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0702f869f0819090aec0c308b0d888 |
completed | May 15, 2026, 11:26 a.m. |
Created at: April 10, 2026, 10:25 a.m.