Triple
T3993049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Wong |
E87035
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object |
KQED
KQED is a major public media organization based in the San Francisco Bay Area, operating television, radio, and digital platforms as a member station of PBS and NPR.
|
E404184
|
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: KQED | Statement: [Victor Wong, workedFor, KQED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KQED Context triple: [Victor Wong, workedFor, KQED]
-
A.
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.
-
B.
KGO-TV
KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
-
C.
KCTS-TV
KCTS-TV is a Seattle-based public television station best known for producing educational programs such as the science show "Bill Nye the Science Guy."
-
D.
KTVU
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
-
E.
KNKX
KNKX is the ICAO airport code for Marine Corps Air Station Miramar, a major United States Marine Corps aviation facility in San Diego, California.
- 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: KQED Triple: [Victor Wong, workedFor, KQED]
Generated description
KQED is a major public media organization based in the San Francisco Bay Area, operating television, radio, and digital platforms as a member station of PBS and NPR.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KQED Target entity description: KQED is a major public media organization based in the San Francisco Bay Area, operating television, radio, and digital platforms as a member station of PBS and NPR.
-
A.
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.
-
B.
KGO-TV
KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
-
C.
KCTS-TV
KCTS-TV is a Seattle-based public television station best known for producing educational programs such as the science show "Bill Nye the Science Guy."
-
D.
KTVU
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
-
E.
KNKX
KNKX is the ICAO airport code for Marine Corps Air Station Miramar, a major United States Marine Corps aviation facility in San Diego, California.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1d9d8c8190982d092a73d38564 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403970e08190bb491048b1bd7b16 |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b54112e3788190800e295a745c4689 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b541808d548190987ad1538c647664 |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:33 p.m.