Triple
T12991531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Nono |
E321915
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Brian Ferneyhough |
E569769
|
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: Brian Ferneyhough | Statement: [Luigi Nono, influenced, Brian Ferneyhough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Ferneyhough Context triple: [Luigi Nono, influenced, Brian Ferneyhough]
-
A.
Brian Ferneyhough
chosen
Brian Ferneyhough is a British composer renowned for his extremely complex, densely notated works and as a leading figure of the New Complexity movement in contemporary classical music.
-
B.
Ralph Kemp
Ralph Kemp was the warden of the Georgia State Prison who served as the named state respondent in the landmark U.S. Supreme Court death penalty case McCleskey v. Kemp.
-
C.
Andy Hargreaves
Andy Hargreaves is a British-Canadian educational researcher and author known for his influential work on educational change, teacher professionalism, and school improvement.
-
D.
Kenneth Woods
Kenneth Woods is a member of the Woods family, known primarily in relation to that family lineage.
-
E.
Bill Eyre
Bill Eyre was an early British aviation figure best known as a co-founder of the Hawker Aircraft company, a major producer of military aircraft in the 20th century.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.