Triple
T22163434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locked Up |
E547728
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Cristina Plazas
Cristina Plazas is a Spanish actress known for her work in film and television, including prominent roles in popular Spanish series.
|
E1540602
|
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: Cristina Plazas | Statement: [Locked Up, hasCastMember, Cristina Plazas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cristina Plazas Context triple: [Locked Up, hasCastMember, Cristina Plazas]
-
A.
Cristina Banegas
Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
-
B.
Marta Sánchez
Marta Sánchez is a Spanish pop singer best known as the former lead vocalist of the band Olé Olé and for her successful solo career in Latin pop music.
-
C.
Pilar Castro
Pilar Castro is a Spanish actress known for her work in film, television, and theater.
-
D.
Inma Cuesta
Inma Cuesta is a Spanish actress known for her work in film, television, and theater, often acclaimed for her dramatic roles in contemporary Spanish cinema.
-
E.
Alicia Borrachero
Alicia Borrachero is a Spanish actress known for her work in television, film, and theater, particularly in popular Spanish TV series.
- 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: Cristina Plazas Triple: [Locked Up, hasCastMember, Cristina Plazas]
Generated description
Cristina Plazas is a Spanish actress known for her work in film and television, including prominent roles in popular Spanish series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cristina Plazas Target entity description: Cristina Plazas is a Spanish actress known for her work in film and television, including prominent roles in popular Spanish series.
-
A.
Cristina Banegas
Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
-
B.
Marta Sánchez
Marta Sánchez is a Spanish pop singer best known as the former lead vocalist of the band Olé Olé and for her successful solo career in Latin pop music.
-
C.
Pilar Castro
Pilar Castro is a Spanish actress known for her work in film, television, and theater.
-
D.
Inma Cuesta
Inma Cuesta is a Spanish actress known for her work in film, television, and theater, often acclaimed for her dramatic roles in contemporary Spanish cinema.
-
E.
Alicia Borrachero
Alicia Borrachero is a Spanish actress known for her work in television, film, and theater, particularly in popular Spanish TV series.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2f2f90819080b5bb73a6052c24 |
completed | April 28, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17c99b848190b9df432945b8a064 |
completed | May 18, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_6a0b18ad4f608190a6947aeb790d8be7 |
completed | May 18, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1979fe088190a06edb086d6b2b46 |
completed | May 18, 2026, 1:51 p.m. |
Created at: April 16, 2026, 8:34 p.m.