Triple
T32339896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amaze Entertainment |
E826280
|
entity |
| Predicate | mediaTypeAdaptedFrom |
P179958
|
FINISHED |
| Object | film franchises |
—
|
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 franchises | Statement: [Amaze Entertainment, mediaTypeAdaptedFrom, film franchises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeAdaptedFrom Context triple: [Amaze Entertainment, mediaTypeAdaptedFrom, film franchises]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
mediaTypeOrigin
Indicates the original source or context from which a particular media type was derived or introduced.
-
C.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
-
D.
mediaTypeAssociation
Indicates an association between an entity and a specific type or category of media with which it is related or represented.
-
E.
mediaTypeRecognized
Indicates that a system has successfully identified and accepted the type or format of a given media item as valid or supported.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: May 1, 2026, 12:48 a.m.