Triple
T23034556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Golf |
E573557
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | Golf Channel |
—
|
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: Golf Channel | Statement: [School of Golf, originalNetwork, Golf Channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golf Channel Context triple: [School of Golf, originalNetwork, Golf Channel]
-
A.
Golf Channel
chosen
Golf Channel is a U.S.-based cable television network dedicated to golf coverage, including live tournaments, news, instruction, and original programming.
-
B.
Golf Digest
Golf Digest is a leading American golf magazine and media brand known for its coverage of professional golf, instruction, equipment reviews, and course rankings.
-
C.
Golf Galaxy
Golf Galaxy is a U.S.-based specialty retail chain focused on golf equipment, apparel, and accessories.
-
D.
Tennis Channel
Tennis Channel is a U.S.-based cable and streaming television network dedicated to live tennis coverage, news, analysis, and related racquet sports programming.
-
E.
Golf Media
Golf Media was a subscription-based mobile app and digital platform created by Tyler, the Creator to host original shows, music, and exclusive content for his fans.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18483e5848190977b1bdb1b83d187 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.