Triple
T20939530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid Betancourt |
E515678
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Yolanda Pulecio |
—
|
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: Yolanda Pulecio | Statement: [Ingrid Betancourt, parent, Yolanda Pulecio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yolanda Pulecio Context triple: [Ingrid Betancourt, parent, Yolanda Pulecio]
-
A.
Yolanda Pulecio
chosen
Yolanda Pulecio is a Colombian politician and former beauty queen best known as the mother of ex-presidential candidate and long-time FARC hostage Ingrid Betancourt.
-
B.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
C.
Yolanda Ramos
Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
-
D.
Carmen Salinas
Carmen Salinas was a renowned Mexican actress, comedian, and politician known for her extensive career in film, television, and theater.
-
E.
Carmen Muñoz
Carmen Muñoz is a Mexican television host and actress known for her work on various telenovelas and entertainment programs.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f954e44481909098a0b23a687d5e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.