Triple
T23160239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Álvaro Noboa |
E578561
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Álvaro Noboa |
—
|
NE NERFINISHED |
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: Álvaro Noboa | Statement: [Álvaro Noboa, name, Álvaro Noboa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Álvaro Noboa Context triple: [Álvaro Noboa, name, Álvaro Noboa]
-
A.
Álvaro Noboa
chosen
Álvaro Noboa is an Ecuadorian businessman and politician, known as one of the country’s wealthiest individuals and a frequent presidential candidate.
-
B.
Manuel Lasso
Manuel Lasso is a Spanish-language author known for his literary and philosophical works.
-
C.
Carlos Moreno Laguillo
Carlos Moreno Laguillo is a music producer best known for his work on the hit song "Cuando me enamoro."
-
D.
Luis Fernando Peña
Luis Fernando Peña is a Mexican film and television actor known for his roles in contemporary Mexican cinema and telenovelas.
-
E.
Miguel Lasso de la Vega
Miguel Lasso de la Vega is a notable bearer of the Spanish surname Lasso, recognized for his prominence within that family line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18eff965081909aaa6fc1910293e2 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.