Triple
T20939501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid Betancourt |
E515678
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Betancourt |
—
|
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: Betancourt | Statement: [Ingrid Betancourt, familyName, Betancourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betancourt Context triple: [Ingrid Betancourt, familyName, Betancourt]
-
A.
Betancourt
chosen
Betancourt is a Spanish-language surname most notably associated with Rómulo Betancourt, a key figure in Venezuelan democratic politics.
-
B.
Beauseant
Beauseant is a scheming aristocrat and one of the principal antagonists in Edward Bulwer-Lytton’s romantic drama "The Lady of Lyons."
-
C.
Marrero
Marrero is a Spanish-origin surname commonly found in Hispanic communities, particularly in the Caribbean and Latin America.
-
D.
Marrero
Marrero is a suburban community in southeastern Louisiana located on the west bank of the Mississippi River near New Orleans.
-
E.
Lafitte
Lafitte is a French-origin surname borne by various notable individuals, including figures in politics, the arts, and sports.
- 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.