Triple
T27345175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Duport" Stradivarius cello (1711) |
E684209
|
entity |
| Predicate | genreOfUse |
P83033
|
FINISHED |
| Object | classical music |
—
|
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: classical music | Statement: ["Duport" Stradivarius cello (1711), genreOfUse, classical music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfUse Context triple: ["Duport" Stradivarius cello (1711), genreOfUse, classical music]
-
A.
usedGenre
chosen
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
-
B.
genreOfRecognition
Indicates the specific genre or category in which an entity (such as a work or person) is formally recognized, honored, or awarded.
-
C.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
D.
categoryIUsedFor
Indicates that one entity is used as a category or classification label for another entity.
-
E.
usageCategory
Indicates the classification of how something is used or the type of usage it falls under.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 11:45 a.m.