Triple
T17435374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Original Films |
E423987
|
entity |
| Predicate | associatedBrand |
P1500
|
FINISHED |
| Object | Apple Originals |
—
|
NE NERFINISHED |
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: Apple Originals | Statement: [Apple Original Films, associatedBrand, Apple Originals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Originals Context triple: [Apple Original Films, associatedBrand, Apple Originals]
-
A.
Apple Original Films
chosen
Apple Original Films is the film production and distribution division of Apple that develops and releases original movies for the Apple TV+ streaming platform.
-
B.
Apple TV+
Apple TV+ is Apple’s subscription-based streaming platform offering original TV series, films, and documentaries across its devices and the web.
-
C.
Max Originals
Max Originals is the banner for exclusive original films and series produced for Warner Bros. Discovery’s Max streaming service.
-
D.
Acorn TV
Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
-
E.
Netflix original series
Netflix original series are television and streaming shows produced, commissioned, or exclusively distributed by Netflix as part of its original content lineup.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.