Triple
T10513929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAFTA Children’s Awards |
E247982
|
entity |
| Predicate | mediaTypeCovered |
P131
|
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: [BAFTA Children’s Awards, mediaTypeCovered, film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeCovered Context triple: [BAFTA Children’s Awards, mediaTypeCovered, film]
-
A.
mediaType
chosen
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
mediaCovered
Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
-
C.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
-
D.
hasCoverType
Indicates that one entity possesses or is associated with a specific type or category of cover.
-
E.
ownedMediaType
Indicates the type or category of media content that is owned in the context of the ownership relationship.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cade0c81908fcbd54a90106bf9 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:27 p.m.