Triple
T14283369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sianel Pedwar Cymru |
E354105
|
entity |
| Predicate | broadcastPlatform |
P17479
|
FINISHED |
| Object | Sky |
E245043
|
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: Sky | Statement: [Sianel Pedwar Cymru, broadcastPlatform, Sky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Context triple: [Sianel Pedwar Cymru, broadcastPlatform, Sky]
-
A.
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.
-
B.
Sky
"Sky" is a popular track by American rapper Playboi Carti, known for its hypnotic production and viral presence within the cloud rap and trap scenes.
-
C.
Sky
Sky is a given name that can be used for people of any gender, often evoking openness, freedom, and nature.
-
D.
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.
-
E.
Sky
chosen
Sky is a major British media and telecommunications company best known for its satellite television services and original programming.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1a6d8081908e857143c0c809c0 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:10 a.m.