Triple
T10622033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Role Modelz |
E250223
|
entity |
| Predicate | hasStreamingSuccess |
P66028
|
FINISHED |
| Object | high streaming numbers on major platforms |
—
|
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: high streaming numbers on major platforms | Statement: [No Role Modelz, hasStreamingSuccess, high streaming numbers on major platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreamingSuccess Context triple: [No Role Modelz, hasStreamingSuccess, high streaming numbers on major platforms]
-
A.
hasOnlineStreamingSuccess
chosen
Indicates that an entity has achieved notable popularity, viewership, or impact through online streaming platforms.
-
B.
hasStreamingAvailability
Indicates that a media item is available to be streamed through a particular streaming service or platform.
-
C.
hasStreamingEligibility
Indicates that an entity is qualified or permitted to be made available via a streaming service or platform.
-
D.
isStreamingSingle
Indicates that an entity (such as a media item or release) is available as a single track specifically for streaming.
-
E.
supportsStreamingWithoutDownload
Indicates that one entity enables another to access or play content via streaming in real time without requiring the content to be downloaded first.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7e5074819096668b53dcc9167a |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:50 p.m.