Triple
T6826631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chourmouzios the Archivist |
E157030
|
entity |
| Predicate | typeOfWorkProduced |
P45535
|
FINISHED |
| Object | musical transcriptions |
—
|
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: musical transcriptions | Statement: [Chourmouzios the Archivist, typeOfWorkProduced, musical transcriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWorkProduced Context triple: [Chourmouzios the Archivist, typeOfWorkProduced, musical transcriptions]
-
A.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
B.
creativeWorkType
Indicates the specific category or form of a creative work (such as book, movie, painting, or song) that characterizes the relationship.
-
C.
worksFrom
Indicates that an entity performs its work or duties starting from or based at a specified location or source.
-
D.
subjectOfWork
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
-
E.
workTypeContributedTo
chosen
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
- 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.