Triple
T33731061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platinum Studios |
E864276
|
entity |
| Predicate | mediaTypeDevelopedFrom |
P179958
|
FINISHED |
| Object | comic books |
—
|
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: comic books | Statement: [Platinum Studios, mediaTypeDevelopedFrom, comic books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeDevelopedFrom Context triple: [Platinum Studios, mediaTypeDevelopedFrom, comic books]
-
A.
mediaTypeOrigin
Indicates the original source or context from which a particular media type was derived or introduced.
-
B.
mediaTypeAdaptedFrom
chosen
Indicates that the media type of one resource is derived or adapted from the media type of another resource.
-
C.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
D.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
-
E.
developedFrom
Indicates that one entity originates, evolves, or is derived from another as its source or precursor.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: May 1, 2026, 1:44 a.m.