Triple
T13667958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Dogs |
E327670
|
entity |
| Predicate | originalChannel |
P2595
|
FINISHED |
| Object | Sky1 |
E356478
|
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: Sky1 | Statement: [Mad Dogs, originalChannel, Sky1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky1 Context triple: [Mad Dogs, originalChannel, Sky1]
-
A.
Sky100
Sky100 is a 360-degree indoor observation deck on the 100th floor of Hong Kong’s International Commerce Centre, offering panoramic views of the city and Victoria Harbour.
-
B.
Sky (satellite television)
chosen
Sky (satellite television) is a major British pay-TV and broadcasting service offering a wide range of channels, on-demand content, and subscription packages via satellite.
-
C.
SKY
SKY is the ICAO airline designator used to identify Skymark Airlines in international aviation operations.
-
D.
SKY
SKY is the Amtrak station code for Sandusky station in Sandusky, Ohio, used for passenger rail ticketing and scheduling.
-
E.
Sky 360
Sky 360 is a revolving restaurant located atop the Calgary Tower, offering panoramic views of Calgary and its surroundings.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d487e2c8190909e1c80cc2262ed |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:52 p.m.