Triple
T13581509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FX on Hulu |
E324427
|
entity |
| Predicate | offersContentWindowing |
P9404
|
FINISHED |
| Object | next-day streaming of FX linear premieres |
—
|
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: next-day streaming of FX linear premieres | Statement: [FX on Hulu, offersContentWindowing, next-day streaming of FX linear premieres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersContentWindowing Context triple: [FX on Hulu, offersContentWindowing, next-day streaming of FX linear premieres]
-
A.
offersViewOf
Indicates that one entity provides a vantage point from which another entity can be seen or visually appreciated.
-
B.
offersFeature
chosen
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
C.
offersPanelType
Indicates that an entity provides or makes available a specific type of panel as part of its offerings.
-
D.
offersContentType
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
E.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.