Triple
T30608851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shut Up and Dance |
E779121
|
entity |
| Predicate | firstBroadcastOnPlatform |
P116818
|
FINISHED |
| Object | Netflix streaming |
—
|
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: Netflix streaming | Statement: [Shut Up and Dance, firstBroadcastOnPlatform, Netflix streaming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBroadcastOnPlatform Context triple: [Shut Up and Dance, firstBroadcastOnPlatform, Netflix streaming]
-
A.
firstBroadcastPlatform
chosen
Indicates the platform or channel on which something, typically a media work, was originally broadcast for the first time.
-
B.
firstBroadcast
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
C.
firstBroadcastFor
Indicates that one entity is the initial or earliest broadcast instance associated with another entity (such as a program, episode, or event).
-
D.
firstBroadcastBy
Indicates that one entity is the original broadcaster or channel that first aired the other entity (such as a program, event, or content).
-
E.
firstBroadcastTime
Indicates the date and time at which something (typically a program or content) was first broadcast.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0302d9d2d88190b20429530775b035 |
completed | May 12, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_6a0302289128819085428f3d544c2fb9 |
completed | May 12, 2026, 10:34 a.m. |
Created at: April 29, 2026, 8:26 p.m.