Triple
T25201614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copenhagen Cowboy |
E631137
|
entity |
| Predicate | premieredAtFestival |
P63470
|
FINISHED |
| Object | Venice Film Festival |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Venice Film Festival | Statement: [Copenhagen Cowboy, premieredAtFestival, Venice Film Festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premieredAtFestival Context triple: [Copenhagen Cowboy, premieredAtFestival, Venice Film Festival]
-
A.
festivalPremiereDate
Indicates the date on which a work (such as a film) first premieres at a festival.
-
B.
premiereFestival
chosen
Indicates that a work had its first public showing or debut at a particular festival.
-
C.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
D.
filmFestivalPremiereYear
Indicates the year in which a film first premiered at a film festival.
-
E.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
- F. None of above.
Provenance (3 batches)
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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f474b5e4408190b726bbd038fa3862 |
completed | May 1, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:51 p.m.