Triple
T30346862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Media Arts Festival Animation Division Grand Prize |
E771889
|
entity |
| Predicate | categoryOfFestival |
P155559
|
FINISHED |
| Object | Animation Division |
—
|
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: Animation Division | Statement: [Japan Media Arts Festival Animation Division Grand Prize, categoryOfFestival, Animation Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryOfFestival Context triple: [Japan Media Arts Festival Animation Division Grand Prize, categoryOfFestival, Animation Division]
-
A.
categoryWithinFestival
chosen
Indicates that one category or sub-event is part of, or occurs within the scope of, a particular festival.
-
B.
filmFestivalCategory
Indicates the specific category or section of a film festival in which a film is entered, screened, or competes.
-
C.
festivalActivity
Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
-
D.
festivalTypeHosted
Indicates that a particular location or organizer hosts festivals of a specified type.
-
E.
festivalFunction
Indicates that an event serves as a festival or is functioning in the role of a festival within a given context.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 7:56 p.m.