Triple
T38630500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Award |
E937437
|
entity |
| Predicate | awardedForFestivalEdition |
P65994
|
FINISHED |
| Object | Tromsø International Film Festival edition |
—
|
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: Tromsø International Film Festival edition | Statement: [Aurora Award, awardedForFestivalEdition, Tromsø International Film Festival edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForFestivalEdition Context triple: [Aurora Award, awardedForFestivalEdition, Tromsø International Film Festival edition]
-
A.
filmFestivalAwardedAt
chosen
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
B.
awardFestival
Indicates that an entity receives or is granted an award in the context of a festival or festival-related event.
-
C.
festivalEditionYear
Indicates the specific calendar year in which a particular edition of a recurring festival takes place.
-
D.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
-
E.
usedInFestival
Indicates that something is employed, featured, or utilized as part of a festival or festival-related activities.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:32 p.m.