Triple
T6135658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Boyar |
E136825
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Dominican Republic emigrant to the United States |
C19987
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Dominican Republic emigrant to the United States Context triple: [Monica Boyar, instanceOf, Dominican Republic emigrant to the United States]
-
A.
Dominican-American writer
A Dominican-American writer is an author of Dominican heritage living in or connected to the United States, whose work often explores themes of migration, bicultural identity, language, race, and the intersections of Dominican and American cultures.
-
B.
Haitian American
A Haitian American is a person in the United States of Haitian descent, whose identity and culture are shaped by both Haitian heritage and American society.
-
C.
Salvadoran-American
A Salvadoran-American is a person of Salvadoran heritage who lives in or is a citizen of the United States, often blending cultural traditions, languages, and identities from both El Salvador and the U.S.
-
D.
Venezuelan-American person
A Venezuelan-American person is an individual with cultural, familial, or national ties to both Venezuela and the United States, often embodying a blend of Venezuelan and American identities, traditions, and experiences.
-
E.
Trinidadian-American person
A Trinidadian-American person is an individual of Trinidadian heritage who lives in, is a citizen of, or strongly identifies with both Trinidad and Tobago and the United States, blending cultural, social, and often linguistic elements from both backgrounds.
- F. None of above. chosen
Provenance (1 batch)
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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
Created at: March 22, 2026, 4:15 p.m.