Triple
T13850966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Czerny |
E332938
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Czerny |
E332938
|
NE FINISHED |
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: Czerny | Statement: [Carl Czerny, familyName, Czerny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czerny Context triple: [Carl Czerny, familyName, Czerny]
-
A.
Godowsky
Godowsky is a surname most prominently associated with the Polish-American pianist and composer Leopold Godowsky and his musically accomplished family.
-
B.
Clementi
Clementi is a residential town and planning area in the western region of Singapore, known for its housing estates, schools, and transport links.
-
C.
Henry Czerny
Henry Czerny is a Canadian actor known for his character roles in film and television, including notable appearances in projects like Mission: Impossible and the series Revenge.
-
D.
Carl Czerny
chosen
Carl Czerny was a prolific 19th-century Austrian pianist, teacher, and composer best known for his influential piano études and for having taught Franz Liszt.
-
E.
Kreuzer
The Kreuzer was a small silver coin and monetary unit used for centuries in various German-speaking states within the Holy Roman Empire and beyond.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02d8fb788190baef7537be2baecb |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f73838819085d6f052c00fc494 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.