Triple
T6865190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNBC-TV |
E158382
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
KWHY-TV
KWHY-TV is a Spanish-language independent television station serving the Los Angeles, California market.
|
E623332
|
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: KWHY-TV | Statement: [KNBC-TV, sisterStation, KWHY-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KWHY-TV Context triple: [KNBC-TV, sisterStation, KWHY-TV]
-
A.
KFSN-TV
KFSN-TV is a local television station in Fresno, California, serving as the market’s ABC network affiliate.
-
B.
KENW-TV
KENW-TV is a public television station in eastern New Mexico that serves as a regional PBS affiliate and broadcast outlet for Eastern New Mexico University.
-
C.
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."
-
D.
KTTV
KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
-
E.
KTHV
KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
- 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: KWHY-TV Triple: [KNBC-TV, sisterStation, KWHY-TV]
Generated description
KWHY-TV is a Spanish-language independent television station serving the Los Angeles, California market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KWHY-TV Target entity description: KWHY-TV is a Spanish-language independent television station serving the Los Angeles, California market.
-
A.
KFSN-TV
KFSN-TV is a local television station in Fresno, California, serving as the market’s ABC network affiliate.
-
B.
KENW-TV
KENW-TV is a public television station in eastern New Mexico that serves as a regional PBS affiliate and broadcast outlet for Eastern New Mexico University.
-
C.
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."
-
D.
KTTV
KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
-
E.
KTHV
KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d88c48f08190b9afba97b19d8605 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72ff153d48190a4b0d4e403457fe8 |
completed | March 28, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c730e882308190a3fbc61245941338 |
completed | March 28, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7316a9cc081908c088725cb7626e8 |
completed | March 28, 2026, 1:39 a.m. |
Created at: March 27, 2026, 2:21 p.m.