Triple
T14411982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetro |
E357350
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sofía Gala
Sofía Gala is an Argentine actress known for her work in independent and art-house films, as well as for being the daughter of renowned actress Moria Casán.
|
E1120997
|
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 Gala | Statement: [Tetro, castMember, Sofía Gala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofía Gala Context triple: [Tetro, castMember, Sofía Gala]
-
A.
Sofía Oria
Sofía Oria is a Spanish actress best known for her role in the critically acclaimed silent black-and-white film "Blancanieves."
-
B.
Sofía Altaba
Sofía Altaba is the daughter of Spanish-American television personality Chabeli Iglesias, a member of the prominent Iglesias entertainment family.
-
C.
Sofía Balbi
Sofía Balbi is a Uruguayan woman best known as the longtime wife of footballer Luis Suárez, often noted for her influence on his personal and professional life.
-
D.
Lola Gaos
Lola Gaos was a Spanish film, theater, and television actress known for her intense character roles in mid-20th-century Spanish cinema.
-
E.
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.
- 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 Gala Triple: [Tetro, castMember, Sofía Gala]
Generated description
Sofía Gala is an Argentine actress known for her work in independent and art-house films, as well as for being the daughter of renowned actress Moria Casán.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofía Gala Target entity description: Sofía Gala is an Argentine actress known for her work in independent and art-house films, as well as for being the daughter of renowned actress Moria Casán.
-
A.
Sofía Oria
Sofía Oria is a Spanish actress best known for her role in the critically acclaimed silent black-and-white film "Blancanieves."
-
B.
Sofía Altaba
Sofía Altaba is the daughter of Spanish-American television personality Chabeli Iglesias, a member of the prominent Iglesias entertainment family.
-
C.
Sofía Balbi
Sofía Balbi is a Uruguayan woman best known as the longtime wife of footballer Luis Suárez, often noted for her influence on his personal and professional life.
-
D.
Lola Gaos
Lola Gaos was a Spanish film, theater, and television actress known for her intense character roles in mid-20th-century Spanish cinema.
-
E.
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.
- 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_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a10afc8190b1ed1b10a4443e8f |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe26e70adc81908359880da24d4272 |
completed | May 8, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe28589f9c8190a4e84455c61b4ed3 |
completed | May 8, 2026, 6:15 p.m. |
Created at: April 10, 2026, 1:17 a.m.