Triple
T36133143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mystery Ship |
E1045078
|
entity |
| Predicate | featuredActorNationality |
—
|
GENERATED |
| Object | Japanese |
—
|
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: featuredActorNationality Context triple: [The Mystery Ship, featuredActorNationality, Japanese]
-
A.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
-
B.
hasLeadActorNationality
chosen
Indicates that the nationality of the lead actor in a work is a specified country or nationality.
-
C.
associatedActNationality
Indicates that an act, event, or action is connected to or characterized by a particular nationality.
-
D.
hasDirectorNationality
Indicates that the nationality of a director is associated with a given entity (such as a film, organization, or work).
-
E.
portrayalNationalityOfActor
Indicates that an actor portrays a character of a specified nationality in a performance or work.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.