Triple
T14411981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetro |
E357350
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Silvia Pérez
Silvia Pérez is an actress known for her role in the Argentine film "Tetro," directed by Francis Ford Coppola.
|
E1127863
|
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: Silvia Pérez | Statement: [Tetro, castMember, Silvia Pérez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvia Pérez Context triple: [Tetro, castMember, Silvia Pérez]
-
A.
Sonia García
Sonia García is a central character in the Latino family sitcom "The Brothers García," known as the strong-willed and caring mother in the García household.
-
B.
Mercedes Pérez
Mercedes Pérez is known as the spouse of acclaimed Spanish film director Carlos Saura.
-
C.
Jennifer Hermoso
Jennifer Hermoso is a Spanish professional footballer widely regarded as one of the country’s greatest forwards, known for her prolific goal-scoring and key role in Spain’s rise in women’s football.
-
D.
Marta Navarro
Marta Navarro is a personal name that may refer to multiple individuals across different fields, such as sports, arts, or public life, rather than a single widely recognized figure.
-
E.
Cristina Banegas
Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
- 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: Silvia Pérez Triple: [Tetro, castMember, Silvia Pérez]
Generated description
Silvia Pérez is an actress known for her role in the Argentine film "Tetro," directed by Francis Ford Coppola.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silvia Pérez Target entity description: Silvia Pérez is an actress known for her role in the Argentine film "Tetro," directed by Francis Ford Coppola.
-
A.
Sonia García
Sonia García is a central character in the Latino family sitcom "The Brothers García," known as the strong-willed and caring mother in the García household.
-
B.
Mercedes Pérez
Mercedes Pérez is known as the spouse of acclaimed Spanish film director Carlos Saura.
-
C.
Jennifer Hermoso
Jennifer Hermoso is a Spanish professional footballer widely regarded as one of the country’s greatest forwards, known for her prolific goal-scoring and key role in Spain’s rise in women’s football.
-
D.
Marta Navarro
Marta Navarro is a personal name that may refer to multiple individuals across different fields, such as sports, arts, or public life, rather than a single widely recognized figure.
-
E.
Cristina Banegas
Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
- 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_69fe7e7563188190b50c4413cd5dde37 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe8005a12881909d701188ab0a95b7 |
completed | May 9, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8052b5fc8190841d65a736dadbce |
completed | May 9, 2026, 12:31 a.m. |
Created at: April 10, 2026, 1:17 a.m.