Triple
T3906633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwen Cooper |
E87216
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | BBC Three |
E70971
|
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 Three | Statement: [Gwen Cooper, network, BBC Three]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC Three Context triple: [Gwen Cooper, network, BBC Three]
-
A.
BBC Three
chosen
BBC Three is a British television channel from the BBC that focuses on younger audiences with a mix of comedy, drama, and documentary programming.
-
B.
BBC Radio 3
BBC Radio 3 is a British national radio station operated by the BBC, best known for its focus on classical music, opera, jazz, and arts programming.
-
C.
BBC Four
BBC Four is a British television channel from the BBC known for its highbrow programming, including arts, culture, documentaries, and international films and dramas.
-
D.
BBC Red Button
BBC Red Button is the BBC’s interactive digital television service that provides additional content, such as news, sports, and entertainment, accessible via the red button on remote controls.
-
E.
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.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed1290e48190aaf2d8b2a7be707a |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cace2b88190981e3516123a417d |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:22 p.m.