Triple
T13196215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garret Dillahunt |
E314117
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | USA Network |
E65798
|
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: USA Network | Statement: [Garret Dillahunt, employer, USA Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USA Network Context triple: [Garret Dillahunt, 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.
NBC USA
NBC USA is a major African American Christian denomination in the United States, formally known as the National Baptist Convention, USA, Inc.
-
C.
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.
-
D.
CW Network
The CW Network is an American broadcast television network known for airing youth-oriented series, superhero shows, and teen dramas.
-
E.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c626058819086f604b11af2d4eb |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f605a48c81909373fcd9dd896b3d |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.