Triple
T3603171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Stern |
E76304
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
WNBC (Washington, D.C.)
WNBC (Washington, D.C.) was a major radio station that served as a prominent platform for influential broadcasters, including shock jock Howard Stern, during its operation.
|
E373672
|
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: WNBC (Washington, D.C.) | Statement: [Howard Stern, employer, WNBC (Washington, D.C.)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WNBC (Washington, D.C.) Context triple: [Howard Stern, employer, WNBC (Washington, D.C.)]
-
A.
WNBC
WNBC is the primary NBC-owned television station serving the New York City metropolitan area.
-
B.
WTTG
WTTG is a Fox-owned television station serving the Washington, D.C. metropolitan area.
-
C.
NBC 4 New York
NBC 4 New York is the on-air brand of WNBC, the flagship NBC-owned television station serving the New York City metropolitan area.
-
D.
WPVI-TV
WPVI-TV is a major ABC-owned and operated television station serving the Philadelphia, Pennsylvania media market.
-
E.
WBAL-TV
WBAL-TV is a Baltimore-based television station that serves as a major local news and NBC network affiliate in Maryland.
- 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: WNBC (Washington, D.C.) Triple: [Howard Stern, employer, WNBC (Washington, D.C.)]
Generated description
WNBC (Washington, D.C.) was a major radio station that served as a prominent platform for influential broadcasters, including shock jock Howard Stern, during its operation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WNBC (Washington, D.C.) Target entity description: WNBC (Washington, D.C.) was a major radio station that served as a prominent platform for influential broadcasters, including shock jock Howard Stern, during its operation.
-
A.
WNBC
WNBC is the primary NBC-owned television station serving the New York City metropolitan area.
-
B.
WTTG
WTTG is a Fox-owned television station serving the Washington, D.C. metropolitan area.
-
C.
NBC 4 New York
NBC 4 New York is the on-air brand of WNBC, the flagship NBC-owned television station serving the New York City metropolitan area.
-
D.
WPVI-TV
WPVI-TV is a major ABC-owned and operated television station serving the Philadelphia, Pennsylvania media market.
-
E.
WBAL-TV
WBAL-TV is a Baltimore-based television station that serves as a major local news and NBC network affiliate in Maryland.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1df08a48190a4a4a20c8821b321 |
completed | March 8, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43309a9b48190bc2aa6f970d45612 |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b43705642881909c62b7363a4f3a12 |
completed | March 13, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4379cd04c81909246747bcc357261 |
completed | March 13, 2026, 4:13 p.m. |
Created at: March 8, 2026, 3:22 p.m.