Triple
T32005108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinema Junpo Award |
E817243
|
entity |
| Predicate | mediaTypeOfAnnounce |
P179259
|
FINISHED |
| Object | print magazine |
—
|
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: print magazine | Statement: [Kinema Junpo Award, mediaTypeOfAnnounce, print magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeOfAnnounce Context triple: [Kinema Junpo Award, mediaTypeOfAnnounce, print magazine]
-
A.
mediaTypeAvailable
Indicates that a particular type or format of media is available for use, access, or distribution in the given context.
-
B.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
C.
mediaTypeOfShow
Indicates the relationship between a show and the type of media format in which it is presented (e.g., TV, radio, streaming).
-
D.
mediaTypeOfPresenter
Indicates the type or format of media associated with a given presenter.
-
E.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
- F. None of above. chosen
Provenance (4 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 12:15 a.m.