Triple
T3603169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Stern |
E76304
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WNBC (New York) |
E82921
|
NE FINISHED |
How this triple was built (2 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 (New York) | Statement: [Howard Stern, employer, WNBC (New York)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WNBC (New York) Context triple: [Howard Stern, employer, WNBC (New York)]
-
A.
WNBC
WNBC is the primary NBC-owned television station serving the New York City metropolitan area.
-
B.
WABC-TV
WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
-
C.
WNYW (New York City)
WNYW (New York City) is the primary Fox-owned television station serving the New York City metropolitan area.
-
D.
NBC 4 New York
chosen
NBC 4 New York is the on-air brand of WNBC, the flagship NBC-owned television station serving the New York City metropolitan area.
-
E.
WCBS-TV
WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b4031dce448190b112ba4d5fa16ee0 |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.