Triple
T38484612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andula |
E917879
|
entity |
| Predicate | filmFestivalRecognition |
P77699
|
FINISHED |
| Object | Venice Film Festival selection |
—
|
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 selection | Statement: [Andula, filmFestivalRecognition, Venice Film Festival selection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmFestivalRecognition Context triple: [Andula, filmFestivalRecognition, Venice Film Festival selection]
-
A.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
B.
festivalRecognition
chosen
Indicates that an entity has been officially acknowledged, selected, or honored by a festival (e.g., through selection, nomination, or award).
-
C.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
-
D.
awardFestival
Indicates that an entity receives or is granted an award in the context of a festival or festival-related event.
-
E.
festivalHonors
Indicates that a particular festival is held in recognition, celebration, or commemoration of a specific person, group, event, or concept.
- 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_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.