Triple
T17384063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike "Doc" Emrick |
E422641
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | USA 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: USA Network | Statement: [Mike "Doc" Emrick, employer, USA Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USA Network Context triple: [Mike "Doc" Emrick, employer, USA Network]
-
A.
USA Network
chosen
USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
-
B.
ABC Network
ABC Network is a major American broadcast television network known for airing a wide range of popular entertainment, news, and sports programming nationwide.
-
C.
NBC USA
NBC USA is a major African American Christian denomination in the United States, formally known as the National Baptist Convention, USA, Inc.
-
D.
A&E Network
A&E Network is an American cable and satellite television channel known for its original programming, including documentaries, reality series, and high-quality scripted productions.
-
E.
CW Network
The CW Network is an American broadcast television network known for airing youth-oriented series, superhero shows, and teen dramas.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a87d9948190986021f1fb5a4e00 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.