Triple
T22037245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohn |
E544243
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Kahn |
—
|
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: Kahn | Statement: [Kohn, hasVariant, Kahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahn Context triple: [Kohn, hasVariant, Kahn]
-
A.
Kahn
chosen
Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
-
B.
KAHN
KAHN is the ICAO airport code for Athens Ben Epps Airport, a public airport serving Athens, Georgia, in the United States.
-
C.
Kahn-Ackermann
Kahn-Ackermann is a German surname most notably borne by the politician and diplomat Georg Kahn-Ackermann.
-
D.
Khanan
Khanan is the tragic young scholar whose doomed love and spiritual turmoil drive the plot of S. Ansky’s classic Yiddish play "The Dybbuk."
-
E.
Kaneholler
Kaneholler is an electronic pop duo fronted by vocalist Chelsea Tyler, known for blending soulful vocals with synth-driven, beat-heavy production.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f32edc81909b6898af6621f56f |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.