Triple
T33303488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serafina Delle Rose |
E852649
|
entity |
| Predicate | notableFilmPortrayalBy |
—
|
GENERATED |
| Object | Anna Magnani |
—
|
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: notableFilmPortrayalBy Context triple: [Serafina Delle Rose, notableFilmPortrayalBy, Anna Magnani]
-
A.
notableCharacterPortrayal
chosen
Indicates that an entity is recognized for its portrayal or depiction of a particular character, typically in a performance or narrative work.
-
B.
portraysNotableAct
Indicates that an entity depicts or represents a significant or noteworthy action performed by another entity.
-
C.
notableDepictionBy
Indicates that an entity is significantly portrayed or represented by a particular creator, work, or medium.
-
D.
hasPortrayedRole
Indicates that an entity has performed or depicted a specific role or character, typically in a work such as a film, play, or television show.
-
E.
hasPortrayedPersonRole
Indicates that an entity has performed or held a specific role in portraying a particular person (e.g., in a film, play, or other representation).
- 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:33 a.m.