Triple
T6962053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Firefly |
E161390
|
entity |
| Predicate | trainingDataPolicy |
P10529
|
FINISHED |
| Object | trained on licensed content and Adobe Stock (according to Adobe) |
—
|
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: trained on licensed content and Adobe Stock (according to Adobe) | Statement: [Adobe Firefly, trainingDataPolicy, trained on licensed content and Adobe Stock (according to Adobe)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingDataPolicy Context triple: [Adobe Firefly, trainingDataPolicy, trained on licensed content and Adobe Stock (according to Adobe)]
-
A.
dataPolicy
chosen
Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
-
B.
trainingDataIncludes
Indicates that one entity’s training dataset contains or incorporates the other entity as part of its data.
-
C.
trainingDataType
Indicates the type or category of data used for training a model, system, or process.
-
D.
trainingUse
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
-
E.
transportPolicy
Indicates a relationship where an authority or organization defines rules, strategies, or guidelines governing how transportation systems are planned, operated, or regulated.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf07e3481909aa79b8e0f1b1be7 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.