Triple
T6825329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Snyder |
E156999
|
entity |
| Predicate | boardMemberOf |
P10
|
FINISHED |
| Object | Gateway, Inc. |
E621571
|
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: Gateway, Inc. | Statement: [Rick Snyder, boardMemberOf, Gateway, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gateway, Inc. Context triple: [Rick Snyder, boardMemberOf, Gateway, Inc.]
-
A.
Gateway, Inc.
chosen
Gateway, Inc. is an American computer hardware company best known for its consumer PCs and distinctive cow-spotted packaging.
-
B.
Gordon Company
Gordon Company is a film production company best known for producing the action classic "Die Hard."
-
C.
Gordon Company
Gordon Company is a film production company best known for its involvement in creating the acclaimed baseball fantasy movie "Field of Dreams."
-
D.
Turnpike Enterprise
Turnpike Enterprise is the division of the Florida Department of Transportation responsible for operating, maintaining, and improving the state’s toll road system.
-
E.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d581ea5881908ba78c6bf1ce58ee |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fa6fc80819081f012ea2207c25a |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:18 p.m.