Triple
T21964897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wally Szczerbiak |
E542432
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | MSG Network |
—
|
NE NERFINISHED |
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: MSG Network | Statement: [Wally Szczerbiak, employer, MSG Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSG Network Context triple: [Wally Szczerbiak, employer, MSG Network]
-
A.
MSG Network
chosen
MSG Network is a regional sports television network based in New York, best known for broadcasting New York Knicks and Rangers games and related programming.
-
B.
CW Network
The CW Network is an American broadcast television network known for airing youth-oriented series, superhero shows, and teen dramas.
-
C.
TX Network
TX Network is a Japanese commercial television network centered around TV Tokyo and its affiliated stations, known for broadcasting anime, variety shows, and other entertainment programming.
-
D.
USA Network
USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
-
E.
Nine Network
Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12459e1848190aa8d4ccc97f434b8 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.