Triple
T38485164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goran Paskaljević |
E917894
|
entity |
| Predicate | filmFestivalParticipation |
P169312
|
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: [Goran Paskaljević, filmFestivalParticipation, Venice Film Festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmFestivalParticipation Context triple: [Goran Paskaljević, filmFestivalParticipation, Venice Film Festival]
-
A.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
B.
filmFestivalScreening
Indicates that a film is being shown or presented as part of the official program of a film festival.
-
C.
associatedFilmFestivalSection
Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
-
D.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
-
E.
frequentFilmFestival
chosen
Indicates that an entity regularly attends or participates in a particular 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:31 p.m.