Triple
T21766609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thirteenth Hour (1947 film) |
E537308
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | John 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 Kellogg | Statement: [The Thirteenth Hour (1947 film), hasCastMember, John Kellogg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Kellogg Context triple: [The Thirteenth Hour (1947 film), hasCastMember, John Kellogg]
-
A.
John Kellogg
chosen
John Kellogg was an American character actor known for his supporting roles in mid-20th-century films and television.
-
B.
John P. Kellogg
John P. Kellogg is a notable individual associated with the Kellogg name, recognized for his contributions that distinguish him among bearers of the surname.
-
C.
John Harvey Kellogg
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.
-
D.
John Azor Kellogg
John Azor Kellogg was a 19th-century American lawyer, politician, and Civil War officer from Wisconsin.
-
E.
Frederick Kellogg
Frederick Kellogg is a notable individual associated with the Kellogg family name, recognized for his contributions that have earned him historical or public significance.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031aa9c888190887c5c1d1e3bab9f |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.