Triple
T14253372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octonauts |
E353324
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | CBeebies |
E71373
|
NE 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: CBeebies | Statement: [Octonauts, originalNetwork, CBeebies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBeebies Context triple: [Octonauts, originalNetwork, CBeebies]
-
A.
CBeebies
chosen
CBeebies is a BBC television channel in the UK dedicated to educational and entertaining programming for preschool-aged children.
-
B.
CBBC
CBBC is the BBC’s dedicated television channel for children, offering a wide range of entertainment, educational, and drama programming primarily aimed at viewers aged 6 to 12.
-
C.
CBeebies Land
CBeebies Land is a themed children’s area at the Alton Towers Resort in the UK, featuring rides, shows, and interactive attractions based on the BBC’s CBeebies television characters.
-
D.
BabyTV
BabyTV is an international television channel dedicated to educational and entertaining programming for babies, toddlers, and preschool-aged children.
-
E.
CITV
CITV is a British children's television channel and programming block operated by ITV, featuring a wide range of kids' shows and animated series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55008a5c8190b005a12df7ef2f75 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:09 a.m.