Triple
T20702422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Fiction |
E508815
|
entity |
| Predicate | subsequentPlatform |
P102666
|
FINISHED |
| Object | streaming via Amazon-related services |
—
|
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: streaming via Amazon-related services | Statement: [American Fiction, subsequentPlatform, streaming via Amazon-related services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentPlatform Context triple: [American Fiction, subsequentPlatform, streaming via Amazon-related services]
-
A.
laterPlatform
Indicates that one entity occurs, appears, or is positioned on a platform that comes after another platform in time or sequence.
-
B.
platformSuccessor
chosen
Indicates that one platform directly follows or replaces another in a sequence or evolution of platforms.
-
C.
sequelPlatform
Indicates that one platform is a follow-up or successor to another platform in a series or progression.
-
D.
successorPlatformBrand
Indicates that one platform brand directly follows and replaces another in a product or generational sequence.
-
E.
adoptedPlatformOn
Indicates that an entity began using or officially adopted a particular platform on a specific date or point in time.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:12 p.m.