Triple
T17596262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organon |
E428579
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Kant |
—
|
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: Kant | Statement: [Organon, influenced, Kant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kant Context triple: [Organon, influenced, Kant]
-
A.
Kant
Kant is a small city in northern Kyrgyzstan, located near the capital Bishkek and known for its agricultural industry and former Soviet air base.
-
B.
Immanuel Kant
chosen
Immanuel Kant was an 18th-century German philosopher whose critical philosophy, especially in works like "Critique of Pure Reason," profoundly shaped modern epistemology, ethics, and metaphysics.
-
C.
Kantishna
Kantishna is a remote former mining settlement and gateway area located deep within Alaska’s Denali National Park.
-
D.
Kant Pan
Kant Pan is a film editor best known for his work on the acclaimed 1992 thriller-drama "The Crying Game."
-
E.
Immanuel Hegel
Immanuel Hegel was a son of the German idealist philosopher G. W. F. Hegel, about whom relatively little is historically documented beyond his familial connection.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ec335c8190abcaff700cfff23b |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.