Triple
T3420042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | standard YouTube license |
E72093
|
entity |
| Predicate | licenseHolder |
P15136
|
FINISHED |
| Object | video uploader |
—
|
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: video uploader | Statement: [standard YouTube license, licenseHolder, video uploader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licenseHolder Context triple: [standard YouTube license, licenseHolder, video uploader]
-
A.
licensee
chosen
Indicates that one entity is authorized by another, through a license agreement, to use or exploit certain rights, property, or resources.
-
B.
licenseManufacturerOf
Indicates that one entity is authorized, via a license, to manufacture products or goods on behalf of or under the rights of another entity.
-
C.
licenseFor
Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
-
D.
license
Indicates that one entity has granted another entity formal permission or authorization to use, perform, or exploit something under specified terms.
-
E.
licenseStewardship
Indicates that one entity is responsible for managing, overseeing, or administering a license on behalf of another 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.