Triple
T329745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrone Power |
E6599
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Hollywood actor |
C553
|
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: Hollywood actor Context triple: [Tyrone Power, instanceOf, Hollywood actor]
-
A.
film actor
chosen
A film actor is a performer who portrays characters in movies by interpreting scripts and conveying emotions through dialogue, expression, and physical action on screen.
-
B.
Hollywood pioneer
A Hollywood pioneer is an early innovator in the American film industry whose creative, technical, or business contributions helped shape the foundations of modern cinema.
-
C.
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.
-
D.
actress
An actress is a female performer who portrays characters in theater, film, television, or other media through acting.
-
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.
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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.