Triple
T4109878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Lion |
E88544
|
entity |
| Predicate | festivalEdition |
P35068
|
FINISHED |
| Object | Venice Film Festival main competition |
—
|
LITERAL FINISHED |
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 main competition | Statement: [Golden Lion, festivalEdition, Venice Film Festival main competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: festivalEdition Context triple: [Golden Lion, festivalEdition, Venice Film Festival main competition]
-
A.
premiereFestivalEdition
Indicates the specific edition of a festival at which a work or event is first officially premiered.
-
B.
festivalSeason
Indicates that a time period is designated or recognized as the season during which a particular festival or set of festivals takes place.
-
C.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
-
D.
eventEdition
chosen
Indicates a specific version or iteration of an event within a recurring or multi-edition series.
-
E.
festivalFocus
Indicates that a festival is centered around, dedicated to, or thematically focused on a particular subject, activity, or feature.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.