Triple
T25534904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Kids+ |
E640016
|
entity |
| Predicate | contentCuration |
P103875
|
FINISHED |
| Object | age-appropriate |
—
|
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: age-appropriate | Statement: [Amazon Kids+, contentCuration, age-appropriate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentCuration Context triple: [Amazon Kids+, contentCuration, age-appropriate]
-
A.
curatesContentFrom
Indicates that one entity selects, organizes, and presents content that originates from another entity.
-
B.
collectsContent
Indicates that one entity gathers, acquires, or accumulates content from another entity or source.
-
C.
contentIs
Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
-
D.
curationType
Indicates the specific manner or method by which something has been selected, organized, or managed within a curated collection or context.
-
E.
curatedFor
chosen
Indicates that something has been selectively organized, chosen, or tailored specifically to suit the needs, interests, or context of a particular 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 3:22 p.m.