Triple
T3727897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouView |
E78992
|
entity |
| Predicate | supportsBroadcaster |
P16302
|
FINISHED |
| Object | Channel 5 |
E247103
|
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: Channel 5 | Statement: [YouView, supportsBroadcaster, Channel 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Channel 5 Context triple: [YouView, supportsBroadcaster, Channel 5]
-
A.
Channel 5
chosen
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
-
B.
Channel 5 News
Channel 5 News is a fictional local television news station featured in the animated series "Family Guy."
-
C.
Sky Channel
Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
-
D.
La Quinta Channel
La Quinta Channel is a deep-draft shipping channel in the Corpus Christi, Texas area that serves industrial and port facilities along the Gulf Coast.
-
E.
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.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf921bc81908bb347d6b9204670 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db1102a08190b5965c474dfab6db |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:34 p.m.