Triple
T3627036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillermo Lasso |
E76863
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Daniel Noboa |
E137493
|
NE FINISHED |
How this triple was built (2 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: Daniel Noboa | Statement: [Guillermo Lasso, succeededBy, Daniel Noboa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Noboa Context triple: [Guillermo Lasso, succeededBy, Daniel Noboa]
-
A.
Daniel Noboa
chosen
Daniel Noboa is an Ecuadorian politician and businessman who became one of the country's youngest presidents after winning the 2023 election.
-
B.
de Cevallos
de Cevallos is a Spanish surname historically associated with notable figures in Spain and its former colonies.
-
C.
Juan Pablo Duarte
Juan Pablo Duarte was a 19th-century Dominican political leader and founding father who played a central role in the Dominican Republic’s independence from Haitian rule.
-
D.
Jorge M. Pérez
Jorge M. Pérez is a prominent Miami-based real estate developer, billionaire, and philanthropist known for his major contributions to the arts and urban development.
-
E.
Jair Marrufo
Jair Marrufo is an American soccer referee who has officiated at the highest levels of Major League Soccer and international competitions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2dc011c8190a6596f4b483fb078 |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b433270ddc81908080698604009737 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.