Triple
T21752008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bettencourt |
E536937
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Betancur |
—
|
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: Betancur | Statement: [Bettencourt, hasVariant, Betancur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betancur Context triple: [Bettencourt, hasVariant, Betancur]
-
A.
Betancur
chosen
Betancur is a Spanish-language surname most notably associated with Belisario Betancur, a former president of Colombia.
-
B.
Roberto Blandón
Roberto Blandón is a Mexican television actor best known for his numerous roles in telenovelas.
-
C.
Neftali Feliz
Neftalí Feliz is a Dominican former Major League Baseball relief pitcher best known as an All-Star closer for the Texas Rangers in the early 2010s.
-
D.
Arturo Correa
Arturo Correa is a Venezuelan-born contemporary artist known for his vibrant, symbolically rich paintings that often explore themes of identity, memory, and cultural hybridity.
-
E.
José Quintero
José Quintero was a Panamanian-born American theater and film director renowned for his influential stage productions, particularly of works by Eugene O’Neill.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8a6d4881908cc69e7247cce3a5 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.