Triple
T33404423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (as producer of Minari) |
E855397
|
entity |
| Predicate | linkedToFilm |
P92754
|
FINISHED |
| Object | Minari |
—
|
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: Minari | Statement: [Academy Award for Best Picture (as producer of Minari), linkedToFilm, Minari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToFilm Context triple: [Academy Award for Best Picture (as producer of Minari), linkedToFilm, Minari]
-
A.
linkedFilm
chosen
Indicates that there is an associated or connected film related to the given entity.
-
B.
linkedToFilmStar
Indicates that one entity has a direct connection or association with a film star.
-
C.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
D.
alsoFilmedIn
Indicates that the same film or video production was additionally shot or recorded in another specified location.
-
E.
mentionedInFilm
Indicates that an entity is referenced or talked about within the content of a film.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.