Triple
T21590296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hit & Miss |
E532759
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | Sky Atlantic |
—
|
NE NERFINISHED |
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: Sky Atlantic | Statement: [Hit & Miss, originalNetwork, Sky Atlantic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Atlantic Context triple: [Hit & Miss, originalNetwork, Sky Atlantic]
-
A.
Sky Atlantic
chosen
Sky Atlantic is a British pay television channel known for premiering high-profile US dramas and original series for audiences in the UK and Ireland.
-
B.
Sky
Sky is a New Zealand-based pay television and media company best known for providing subscription TV, sports broadcasting, and streaming services across the country.
-
C.
Sky
Sky is a major British media and telecommunications company best known for its satellite television services and original programming.
-
D.
Sky
Sky is a charming and supportive young man from the musical and film "Mamma Mia!", known for his relationship with Sophie Sheridan and their plans to build a life together.
-
E.
Sky
Sky is a character associated with the "Woman of Steel" universe, likely serving as a key supporting figure or aspect of the heroine’s world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadd0ec88190929c76137bd1603e |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.