Triple
T32244038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Insiang |
E823696
|
entity |
| Predicate | firstScreenedAtFestival |
—
|
GENERATED |
| Object | Cannes Film Festival |
—
|
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: firstScreenedAtFestival Context triple: [Insiang, firstScreenedAtFestival, Cannes Film Festival]
-
A.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
-
B.
festivalPremiereDate
Indicates the date on which a work (such as a film) first premieres at a festival.
-
C.
firstFilmScreenings
chosen
Indicates that the relationship links a film to the locations, venues, or events where it was first publicly screened.
-
D.
filmFestivalScreening
Indicates that a film is being shown or presented as part of the official program of a film festival.
-
E.
firstScreeningDate
Indicates the date on which something (such as a film, show, or individual) is first formally screened or evaluated.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:40 a.m.