Triple
T2148352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Hunter |
E47121
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | former actress |
C9916
|
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: former actress Context triple: [Sophie Hunter, instanceOf, former actress]
-
A.
actress
An actress is a female performer who portrays characters in theater, film, television, or other media through acting.
-
B.
film actress
A film actress is a female performer who portrays characters in movies, using acting skills to convey emotions, narratives, and personalities on screen.
-
C.
television actress
A television actress is a female performer who portrays characters in TV shows, series, and made-for-television productions, bringing scripted roles to life through acting on screen.
-
D.
stage actress
A stage actress is a female performer who portrays characters live in theatrical productions, using voice, movement, and emotion to convey stories to an audience.
-
E.
American actress
An American actress is a female performer from the United States who portrays characters in film, television, theater, or other visual media.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
Created at: March 4, 2026, 7:44 p.m.