Triple
T7927776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DIY Network |
E184109
|
entity |
| Predicate | hasSisterChannel |
P6991
|
FINISHED |
| Object | Travel Channel |
E271971
|
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: Travel Channel | Statement: [DIY Network, hasSisterChannel, Travel Channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travel Channel Context triple: [DIY Network, hasSisterChannel, Travel Channel]
-
A.
Travel Channel
chosen
Travel Channel is an American cable television network focused on travel, adventure, and exploration-themed programming around the world.
-
B.
The Travel Show
The Travel Show is a BBC travel documentary series that explores global destinations, cultures, and experiences through on-location reports and features.
-
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.
Travelling
Travelling is an episode of the BBC nature documentary series "The Private Life of Plants," focusing on how plants disperse and move to colonize new environments.
-
E.
GA Channel
GA Channel is a software release track that delivers fully tested, production-ready features to all users as part of a product’s general availability phase.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aafdb5c8190b7f2ce5349305f78 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bfd08e88190bc6b2d77a148ae57 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.