Triple
T32900336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willem Dafoe as John Clark |
E841589
|
entity |
| Predicate | primarySettingOfFilm |
—
|
GENERATED |
| Object | United States |
—
|
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: primarySettingOfFilm Context triple: [Willem Dafoe as John Clark, primarySettingOfFilm, United States]
-
A.
primaryActivityInFilm
Indicates that an entity’s main or most significant activity, role, or function occurs within the context of a particular film.
-
B.
primaryCinema
Indicates that one entity is the main or most significant cinema associated with another entity (such as a person, work, or event).
-
C.
primarySettingOf
Indicates that a location or context serves as the main or principal setting in which an entity (such as a story, event, or activity) takes place.
-
D.
filmSetting
chosen
Indicates the place, time, or environment in which the events of a film are set or take place.
-
E.
primarySetting
Indicates that one entity serves as the main or central location, context, or environment in which the other entity’s events or activities primarily take place.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:19 a.m.