Triple
T23295103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Johnson |
E590145
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Diamond Rio |
—
|
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: Diamond Rio | Statement: [Gene Johnson, memberOf, Diamond Rio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diamond Rio Context triple: [Gene Johnson, memberOf, Diamond Rio]
-
A.
Diamond Rio
chosen
Diamond Rio is an American country music band known for its tight harmonies and a string of 1990s hits such as "Meet in the Middle."
-
B.
Dymo
Dymo is a brand best known for its label makers and labeling solutions used in offices, homes, and industrial settings.
-
C.
Brother Industries
Brother Industries is a Japanese multinational electronics and electrical equipment manufacturer best known for its printers, sewing machines, and other office and industrial products.
-
D.
Rimington
Rimington is a small rural village and civil parish in the Ribble Valley district of Lancashire, England.
-
E.
Mardel, Inc.
Mardel, Inc. is a Christian-themed retail chain in the United States that sells books, educational materials, and religious merchandise.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cdce7081908ca1cf9107b87f61 |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.