Triple
T5077705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Correa |
E114437
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Sofía Correa
Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
|
E493176
|
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 Correa | Statement: [Rafael Correa, hasChild, Sofía Correa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofía Correa Context triple: [Rafael Correa, hasChild, Sofía Correa]
-
A.
Laura Chinchilla Miranda
Laura Chinchilla Miranda is a Costa Rican politician who served as the country’s first female president from 2010 to 2014.
-
B.
Javiera Carrera
Javiera Carrera was a prominent Chilean patriot and political figure who played a key role in the country’s early independence movement.
-
C.
Catalina Suárez Marcaida
Catalina Suárez Marcaida was the first wife of Spanish conquistador Hernán Cortés, whose controversial death in Cuba preceded Cortés’s conquest of the Aztec Empire.
-
D.
Mireya Moscoso
Mireya Moscoso is a Panamanian politician who served as the first female President of Panama from 1999 to 2004.
-
E.
Patricia Velásquez
Patricia Velásquez is a Venezuelan actress and model best known for her roles in films such as The Mummy franchise and various international television and movie productions.
- 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 Correa Triple: [Rafael Correa, hasChild, Sofía Correa]
Generated description
Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofía Correa Target entity description: Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
-
A.
Laura Chinchilla Miranda
Laura Chinchilla Miranda is a Costa Rican politician who served as the country’s first female president from 2010 to 2014.
-
B.
Javiera Carrera
Javiera Carrera was a prominent Chilean patriot and political figure who played a key role in the country’s early independence movement.
-
C.
Catalina Suárez Marcaida
Catalina Suárez Marcaida was the first wife of Spanish conquistador Hernán Cortés, whose controversial death in Cuba preceded Cortés’s conquest of the Aztec Empire.
-
D.
Mireya Moscoso
Mireya Moscoso is a Panamanian politician who served as the first female President of Panama from 1999 to 2004.
-
E.
Patricia Velásquez
Patricia Velásquez is a Venezuelan actress and model best known for her roles in films such as The Mummy franchise and various international television and movie productions.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f632788190ac4fd047e1a20485 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb12718388190974df282ec2c6a11 |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb1d1202881909007f34c23887b35 |
completed | March 21, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb2547068819092c98b471be691a1 |
completed | March 21, 2026, 2:59 p.m. |
Created at: March 20, 2026, 1:39 p.m.