Triple
T711101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC Two |
E14207
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | BBC Four |
E71372
|
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: BBC Four | Statement: [BBC Two, sisterChannel, BBC Four]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC Four Context triple: [BBC Two, sisterChannel, BBC Four]
-
A.
BBC Four
chosen
BBC Four is a British television channel from the BBC known for its highbrow programming, including arts, culture, documentaries, and international films and dramas.
-
B.
BBC Two
BBC Two is a British television channel operated by the BBC, known for its diverse and often more experimental programming, including comedy, drama, documentaries, and arts content.
-
C.
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.
-
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 Three
BBC Three is a British television channel from the BBC that focuses on younger audiences with a mix of comedy, drama, and documentary programming.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55c99fc8190941c5fd18551792a |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a5851548190adeacb2feb35a1cb |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.