Triple
T32647457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Blu-ray |
E834631
|
entity |
| Predicate | packagingOftenFeatures |
P38718
|
FINISHED |
| Object | Disney characters |
—
|
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: Disney characters | Statement: [Disney Blu-ray, packagingOftenFeatures, Disney characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packagingOftenFeatures Context triple: [Disney Blu-ray, packagingOftenFeatures, Disney characters]
-
A.
packagingIncludes
chosen
Indicates that the packaging of one item contains or comes with another specified item or component.
-
B.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
C.
packagingStyle
Indicates the manner or format in which a product or item is packaged or presented.
-
D.
packagingTechnology
Indicates the method or technology used to package a product or item.
-
E.
packagingRequirement
Indicates the specific conditions, standards, or constraints that must be met in how something is packaged.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c775d6188190b236fc4f89a11b61 |
completed | May 3, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.