Triple
T12183773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PBS Kids (US TV series) |
E290281
|
entity |
| Predicate | featuresContentFrom |
P57986
|
FINISHED |
| Object | PBS Kids original series |
—
|
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: PBS Kids original series | Statement: [PBS Kids (US TV series), featuresContentFrom, PBS Kids original series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresContentFrom Context triple: [PBS Kids (US TV series), featuresContentFrom, PBS Kids original series]
-
A.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
B.
curatesContentFrom
chosen
Indicates that one entity selects, organizes, and presents content that originates from another entity.
-
C.
featuresTopic
Indicates that something (such as a work, event, or item) prominently includes, focuses on, or is organized around a particular topic.
-
D.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
E.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or document.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.