Triple
T14374875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PhotoDisc |
E356446
|
entity |
| Predicate | imageUseRights |
P23417
|
FINISHED |
| Object | multiple uses under a single license |
—
|
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: multiple uses under a single license | Statement: [PhotoDisc, imageUseRights, multiple uses under a single license]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageUseRights Context triple: [PhotoDisc, imageUseRights, multiple uses under a single license]
-
A.
usesImagery
Indicates that one entity employs descriptive or figurative language to create sensory or vivid mental images in relation to another entity or concept.
-
B.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
C.
mediaRights
Indicates that one entity holds legal permission or authority to use, distribute, or control the use of another entity’s media content.
-
D.
rightsManagement
Indicates the management, control, and enforcement of usage rights or permissions associated with an entity or resource.
-
E.
contentLicense
chosen
Indicates the type of license or usage rights that govern how the associated content may be used, shared, or redistributed.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.