Triple
T5710696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Korean media |
E125899
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
KCTV sports channel
KCTV sports channel is a North Korean state-run television channel dedicated to broadcasting sports events and related programming.
|
E542663
|
NE FINISHED |
How this triple was built (4 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: KCTV sports channel | Statement: [North Korean media, hasComponent, KCTV sports channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KCTV sports channel Context triple: [North Korean media, hasComponent, KCTV sports channel]
-
A.
KING-TV
KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
-
B.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
-
C.
KTHV
KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
-
D.
KMTV
KMTV is a local television station where journalist Tom Brokaw began his early broadcasting career.
-
E.
KSAZ-TV
KSAZ-TV is a Fox-affiliated television station serving the Phoenix, Arizona market.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KCTV sports channel Triple: [North Korean media, hasComponent, KCTV sports channel]
Generated description
KCTV sports channel is a North Korean state-run television channel dedicated to broadcasting sports events and related programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KCTV sports channel Target entity description: KCTV sports channel is a North Korean state-run television channel dedicated to broadcasting sports events and related programming.
-
A.
KING-TV
KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
-
B.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
-
C.
KTHV
KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
-
D.
KMTV
KMTV is a local television station where journalist Tom Brokaw began his early broadcasting career.
-
E.
KSAZ-TV
KSAZ-TV is a Fox-affiliated television station serving the Phoenix, Arizona market.
- F. None of above. chosen
Provenance (5 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248df1a8819091e9f3c80dba3f54 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a6f5ac08190b5acbccea756d2de |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c062029e3c8190ade3f0836d6b3842 |
completed | March 22, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c06268eb0c8190959ba762c2d9b47d |
completed | March 22, 2026, 9:43 p.m. |
Created at: March 22, 2026, 3:46 p.m.