Triple
T6163247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Noboa |
E137493
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Annabella Azín
Annabella Azín is an Ecuadorian physician and politician known for her public health work and role in national politics.
|
E574432
|
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: Annabella Azín | Statement: [Daniel Noboa, mother, Annabella Azín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annabella Azín Context triple: [Daniel Noboa, mother, Annabella Azín]
-
A.
Ariadna Welter
Ariadna Welter was a Mexican film actress known for her roles in mid-20th-century Mexican cinema.
-
B.
Zarité Sedella
Zarité Sedella is the enslaved Haitian woman of mixed African and Indigenous descent whose life, resilience, and quest for freedom drive the narrative of Isabel Allende’s historical novel "Island Beneath the Sea."
-
C.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
D.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
-
E.
Alice Rivaz
Alice Rivaz was a Swiss novelist and short story writer known for her introspective, socially engaged portrayals of women's lives in 20th-century Switzerland.
- 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: Annabella Azín Triple: [Daniel Noboa, mother, Annabella Azín]
Generated description
Annabella Azín is an Ecuadorian physician and politician known for her public health work and role in national politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annabella Azín Target entity description: Annabella Azín is an Ecuadorian physician and politician known for her public health work and role in national politics.
-
A.
Ariadna Welter
Ariadna Welter was a Mexican film actress known for her roles in mid-20th-century Mexican cinema.
-
B.
Zarité Sedella
Zarité Sedella is the enslaved Haitian woman of mixed African and Indigenous descent whose life, resilience, and quest for freedom drive the narrative of Isabel Allende’s historical novel "Island Beneath the Sea."
-
C.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
D.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
-
E.
Alice Rivaz
Alice Rivaz was a Swiss novelist and short story writer known for her introspective, socially engaged portrayals of women's lives in 20th-century Switzerland.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d5e8edc8190a7a394ee832bac9f |
completed | March 22, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14199f024819089af02b1c0eebfad |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c1467ef4d48190b714823935318c0a |
completed | March 23, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c146f59d9881908fdc6c0137f0ead7 |
completed | March 23, 2026, 1:58 p.m. |
Created at: March 22, 2026, 4:17 p.m.