Triple
T15262230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Field |
E364807
|
entity |
| Predicate | studiedUnder |
P7251
|
FINISHED |
| Object | Muzio Clementi |
E131273
|
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: Muzio Clementi | Statement: [John Field, studiedUnder, Muzio Clementi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muzio Clementi Context triple: [John Field, studiedUnder, Muzio Clementi]
-
A.
Muzio Clementi
chosen
Muzio Clementi was an Italian-born composer, pianist, teacher, and music publisher whose keyboard works and pedagogical influence were central to the development of the Classical piano style.
-
B.
Carl Czerny
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.
-
C.
Wenzel Czerny
Wenzel Czerny was the father of the renowned Austrian pianist, composer, and teacher Carl Czerny.
-
D.
Johann Nepomuk Hummel
Johann Nepomuk Hummel was an Austrian composer and virtuoso pianist of the late Classical and early Romantic eras, renowned for his piano concertos, chamber music, and influential keyboard pedagogy.
-
E.
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.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fb8b30819096d31ba5884715c9 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:14 a.m.