Triple
T1736875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hearst Communications |
E37938
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
KCRA-TV
KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
|
E194458
|
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: KCRA-TV | Statement: [Hearst Communications, owns, KCRA-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KCRA-TV Context triple: [Hearst Communications, owns, KCRA-TV]
-
A.
KGO-TV
KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
-
B.
KSFO
KSFO is the ICAO airport code for San Francisco International Airport, a major international aviation hub serving the San Francisco Bay Area in California.
-
C.
KABC-TV
KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
-
D.
KNBC-TV
KNBC-TV is the NBC-owned and operated television station serving the Los Angeles, California market.
-
E.
KFSN-TV
KFSN-TV is a local television station in Fresno, California, serving as the market’s ABC network 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: KCRA-TV Triple: [Hearst Communications, owns, KCRA-TV]
Generated description
KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KCRA-TV Target entity description: KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
-
A.
KGO-TV
KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
-
B.
KSFO
KSFO is the ICAO airport code for San Francisco International Airport, a major international aviation hub serving the San Francisco Bay Area in California.
-
C.
KABC-TV
KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
-
D.
KNBC-TV
KNBC-TV is the NBC-owned and operated television station serving the Los Angeles, California market.
-
E.
KFSN-TV
KFSN-TV is a local television station in Fresno, California, serving as the market’s ABC network 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a47cd481909c211e4da7f5dfe9 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b008b7881909ac568af010bcf99 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad979dc1dc81908b64e57298ae6017 |
completed | March 8, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad9836f4c8819098ba033b5f0d2a33 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 4, 2026, 7:30 p.m.