Triple
T19688424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellogg |
E472772
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Harvey Kellogg |
—
|
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: John Harvey Kellogg | Statement: [Kellogg, hasNotableBearer, John Harvey Kellogg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Harvey Kellogg Context triple: [Kellogg, hasNotableBearer, John Harvey Kellogg]
-
A.
John Harvey Kellogg
chosen
John Harvey Kellogg was an American medical doctor, nutritionist, and health reformer best known for directing the Battle Creek Sanitarium and co-inventing corn flakes.
-
B.
John Kellogg
John Kellogg was an American character actor known for his supporting roles in mid-20th-century films and television.
-
C.
Albert Kellogg
Albert Kellogg was a 19th-century American physician and pioneering botanist known for his early taxonomic work on the flora of California.
-
D.
C. W. Post
C. W. Post was an American industrialist and breakfast cereal pioneer who founded the Postum Cereal Company, a forerunner of Post Consumer Brands.
-
E.
Jerome Kellogg
Jerome Kellogg was a physicist known as a notable student of Nobel laureate Isidor Isaac Rabi.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420e5b788190a63ff6b83383b0e8 |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:45 p.m.