Triple
T14411768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blancanieves |
E357344
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Sofía Oria
Sofía Oria is a Spanish actress best known for her role in the critically acclaimed silent black-and-white film "Blancanieves."
|
E1118676
|
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: Sofía Oria | Statement: [Blancanieves, stars, Sofía Oria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofía Oria Context triple: [Blancanieves, stars, Sofía Oria]
-
A.
Sofía Altaba
Sofía Altaba is the daughter of Spanish-American television personality Chabeli Iglesias, a member of the prominent Iglesias entertainment family.
-
B.
Cristina Banegas
Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
-
C.
Alba Flores
Alba Flores is a Spanish actress best known internationally for her role as Nairobi in the television series "Money Heist" (La Casa de Papel).
-
D.
Lucía García
Lucía García is a Spanish professional footballer known for playing as a forward for top clubs and the Spain women’s national team.
-
E.
Paloma Jiménez
Paloma Jiménez is a Mexican model known for her long-term relationship with actor Vin Diesel and appearances in fashion campaigns and on magazine covers.
- 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: Sofía Oria Triple: [Blancanieves, stars, Sofía Oria]
Generated description
Sofía Oria is a Spanish actress best known for her role in the critically acclaimed silent black-and-white film "Blancanieves."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofía Oria Target entity description: Sofía Oria is a Spanish actress best known for her role in the critically acclaimed silent black-and-white film "Blancanieves."
-
A.
Sofía Altaba
Sofía Altaba is the daughter of Spanish-American television personality Chabeli Iglesias, a member of the prominent Iglesias entertainment family.
-
B.
Cristina Banegas
Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
-
C.
Alba Flores
Alba Flores is a Spanish actress best known internationally for her role as Nairobi in the television series "Money Heist" (La Casa de Papel).
-
D.
Lucía García
Lucía García is a Spanish professional footballer known for playing as a forward for top clubs and the Spain women’s national team.
-
E.
Paloma Jiménez
Paloma Jiménez is a Mexican model known for her long-term relationship with actor Vin Diesel and appearances in fashion campaigns and on magazine covers.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c9b3448190aec1608836a5e913 |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cd3aa20819089c8527faf1ceddd |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe17d456e08190859ac76ee7e21e8c |
completed | May 8, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1836cf688190a3bea0939d2ea920 |
completed | May 8, 2026, 5:07 p.m. |
Created at: April 10, 2026, 1:17 a.m.