Triple
T3440640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Kids |
E72554
|
entity |
| Predicate | contentSourcing |
P409
|
FINISHED |
| Object | licensed children's channels and shows |
—
|
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: licensed children's channels and shows | Statement: [Sky Kids, contentSourcing, licensed children's channels and shows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentSourcing Context triple: [Sky Kids, contentSourcing, licensed children's channels and shows]
-
A.
contentProvider
Indicates that one entity serves as the source or supplier of content (such as media, information, or data) for another entity.
-
B.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
C.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
D.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or document.
-
E.
textContent
Indicates that one entity is the textual content or written material contained within another 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f833e88190b5e813f115621a5f |
completed | March 8, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69adae00ad588190bef24373b58a2e1a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.