Triple
T10527930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imagen Award |
E248352
|
entity |
| Predicate | mediaTypeRecognized |
P94385
|
FINISHED |
| Object | film |
—
|
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: film | Statement: [Imagen Award, mediaTypeRecognized, film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeRecognized Context triple: [Imagen Award, mediaTypeRecognized, film]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
-
C.
mediaTypeManaged
Indicates that one entity is responsible for controlling, organizing, or overseeing the specified media type associated with another entity.
-
D.
ownedMediaType
Indicates the type or category of media content that is owned in the context of the ownership relationship.
-
E.
mediaReferenceType
Indicates the specific kind of relationship or role that a referenced media item has in relation to another entity or context.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f6f4a88190ae6e0cc0bcbff0c5 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:30 p.m.