Triple
T6826637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chourmouzios the Archivist |
E157030
|
entity |
| Predicate | roleInMusicHistory |
P24742
|
FINISHED |
| Object | systematizer of Byzantine chant notation |
—
|
LITERAL 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: systematizer of Byzantine chant notation | Statement: [Chourmouzios the Archivist, roleInMusicHistory, systematizer of Byzantine chant notation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMusicHistory Context triple: [Chourmouzios the Archivist, roleInMusicHistory, systematizer of Byzantine chant notation]
-
A.
inMusicHistory
Indicates that something is recorded, referenced, or recognized within the context of music history.
-
B.
notableMusician
Indicates that the subject is a musician who is widely recognized or distinguished for their musical work or impact.
-
C.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
D.
knownForMusicGenre
Indicates that an entity is recognized or notable for producing, performing, or being associated with a particular music genre.
-
E.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
- F. None of above.
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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58375248190935dd38d618994e3 |
completed | March 27, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.