Triple
T35793216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Helmsley |
E1034747
|
entity |
| Predicate | countryOfCitizenshipOfActress |
—
|
GENERATED |
| Object | United Kingdom |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCitizenshipOfActress Context triple: [Victoria Helmsley, countryOfCitizenshipOfActress, United Kingdom]
-
A.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
-
B.
countryOfCitizenship
chosen
Indicates the country in which a person or entity holds legal citizenship.
-
C.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
D.
associatedActNationality
Indicates that an act, event, or action is connected to or characterized by a particular nationality.
-
E.
portrayedByCountryOfCitizenship
Indicates that the subject is depicted or represented by an individual whose country of citizenship is the specified country.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.