Triple
T22837523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Racket Boys |
E565986
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | SBS TV |
—
|
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: SBS TV | Statement: [Racket Boys, originalNetwork, SBS TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SBS TV Context triple: [Racket Boys, originalNetwork, SBS TV]
-
A.
SBS Television
SBS Television is an Australian free-to-air public broadcasting network known for its multicultural and multilingual programming.
-
B.
KBS
KBS is South Korea's national public broadcaster, known for its television, radio, and online services.
-
C.
KBS
KBS is a major bus terminal in Bengaluru, India, serving as one of the city’s primary hubs for intra-city and inter-city bus transport.
-
D.
Ryomyong TV
Ryomyong TV is a North Korean television channel that broadcasts state-approved news, propaganda, and entertainment content under the country’s tightly controlled media system.
-
E.
Seoul Broadcasting System
chosen
Seoul Broadcasting System is a major South Korean television and radio network known for its popular dramas, variety shows, and news programming.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e303cec81909c5c118dc8c93354 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.