Triple
T632805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC iPlayer |
E15957
|
entity |
| Predicate | contentProvider |
P17306
|
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: [BBC iPlayer, contentProvider, CBBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBBC Context triple: [BBC iPlayer, contentProvider, 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.
Blue Peter
Blue Peter is a long-running British children's television programme known for its educational content, creative activities, and iconic badge awards.
-
D.
Channel 4
Channel 4 is a British public-service television broadcaster known for its innovative, often provocative programming and support of diverse and groundbreaking drama and comedy.
-
E.
BBC One
BBC One is the BBC’s flagship television channel in the United Kingdom, known for broadcasting a wide range of popular news, drama, comedy, and entertainment programs.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a515ceb081908c064b2082047c0f |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4efbe08190aadee9964901a368 |
completed | March 2, 2026, 10:54 a.m. |
Created at: March 1, 2026, 7:35 p.m.