Triple
T27890852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrietta Duterte |
E705349
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | African American businesswoman |
C19331
|
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: African American businesswoman Context triple: [Henrietta Duterte, instanceOf, African American businesswoman]
-
A.
African-American businessperson
chosen
An African-American businessperson is an individual of African-American heritage engaged in commercial, entrepreneurial, or corporate activities, contributing to economic development and often navigating and challenging historical and systemic barriers in the business world.
-
B.
African-American woman
An African-American woman is a female-identifying person of African descent whose cultural, historical, and social experiences are shaped by both Black and American identities.
-
C.
African-American-owned business
An African-American-owned business is a commercial enterprise in which one or more African-American individuals hold majority ownership, control, and decision-making authority.
-
D.
American businesswoman
An American businesswoman is a professional woman from the United States who engages in commercial, entrepreneurial, or corporate activities, often holding leadership or managerial roles within businesses or organizations.
-
E.
African American educator
An African American educator is a teacher, scholar, or academic leader of African American heritage who facilitates learning, advances knowledge, and often engages with issues of equity, culture, and social justice in educational settings.
- F. None of above.
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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
Created at: April 27, 2026, 6:36 p.m.