Triple
T15035041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Peter badge |
E378456
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | CBBC |
E70972
|
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: CBBC | Statement: [Blue Peter badge, network, CBBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBBC Context triple: [Blue Peter badge, network, CBBC]
-
A.
CBBC
chosen
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.
-
B.
CBeebies
CBeebies is a BBC television channel in the UK dedicated to educational and entertaining programming for preschool-aged children.
-
C.
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.
-
D.
ITV4
ITV4 is a British free-to-air television channel from the ITV network, known for broadcasting sports, classic dramas, and entertainment aimed primarily at a male audience.
-
E.
GBBC
GBBC is a global citizen-science project in which people of all ages count birds in their backyards and communities each February to help track and study bird populations.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.