Triple
T14894369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Living |
E359831
|
entity |
| Predicate | payTVService |
P48296
|
FINISHED |
| Object | BT TV |
E71089
|
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: BT TV | Statement: [Sky Living, payTVService, BT TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BT TV Context triple: [Sky Living, payTVService, BT TV]
-
A.
BT TV
chosen
BT TV is a UK-based subscription television service from BT Group that offers live channels, on-demand content, and streaming apps via broadband.
-
B.
Bell TV
Bell TV is a Canadian direct-to-home satellite and IPTV television service provider owned by BCE Inc.
-
C.
QTV
QTV was a Philippine television network operated by GMA Network that primarily aired lifestyle, entertainment, and imported programming before being rebranded as GMA News TV.
-
D.
Start TV
Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
-
E.
TVH
TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:10 a.m.