Triple
T2140942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Beach |
E46757
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | American expatriate in France |
C9887
|
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: American expatriate in France Context triple: [Sylvia Beach, instanceOf, American expatriate in France]
-
A.
American expatriate in the United Kingdom
An American expatriate in the United Kingdom is a U.S. citizen who resides long-term in the UK, navigating life, work, and culture within British society while maintaining ties to their American identity and legal obligations.
-
B.
Russian emigrant to the United States
A Russian emigrant to the United States is an individual who leaves Russia to reside permanently or long-term in the U.S., navigating cultural, social, and legal transitions between the two countries.
-
C.
immigrant to the United States
An immigrant to the United States is a person who leaves their country of origin to reside, either temporarily or permanently, within the U.S. for reasons such as work, family, safety, or opportunity.
-
D.
Russian emigrant to the United Kingdom
A Russian emigrant to the United Kingdom is an individual born and raised in Russia who has relocated to the UK to reside there long-term or permanently, often for reasons such as work, study, family, or political circumstances.
-
E.
Swiss-American
A Swiss-American is a person of Swiss origin or descent who lives in, is a citizen of, or culturally identifies with the United States, blending Swiss and American traditions, values, and identities.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
Created at: March 4, 2026, 7:44 p.m.