Triple
T3420031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | standard YouTube license |
E72093
|
entity |
| Predicate | contentOwner |
P1365
|
FINISHED |
| Object | uploader of the video |
—
|
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: uploader of the video | Statement: [standard YouTube license, contentOwner, uploader of the video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentOwner Context triple: [standard YouTube license, contentOwner, uploader of the video]
-
A.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
B.
contentLicense
Indicates the type of license or usage rights that govern how the associated content may be used, shared, or redistributed.
-
C.
contentLicenseAllows
Indicates that a content license grants permission for a specified use or action involving the content.
-
D.
hasCopyrightHolder
chosen
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
E.
targetOwner
Indicates that one entity is the owner or primary possessor of a specified target entity.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb94eb9e8819087a525df4550914b |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.