Triple
T24419728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Jazz Studies |
E615691
|
entity |
| Predicate | genreOfCollectedMaterials |
P37316
|
FINISHED |
| Object | jazz |
—
|
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: jazz | Statement: [Institute of Jazz Studies, genreOfCollectedMaterials, jazz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfCollectedMaterials Context triple: [Institute of Jazz Studies, genreOfCollectedMaterials, jazz]
-
A.
genreOfCollection
chosen
Indicates that a specified genre categorizes or characterizes a particular collection.
-
B.
collectsMaterialType
Indicates that an entity gathers or acquires materials of a specified type.
-
C.
collectionKind
Indicates the type or category of collection to which an entity or group of entities belongs.
-
D.
libraryCollectionType
Indicates the specific category or type of collection that a library maintains or offers (e.g., reference, circulating, digital).
-
E.
genreOfRecognition
Indicates the specific genre or category in which an entity (such as a work or person) is formally recognized, honored, or awarded.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a12a50819099fcdbc7096b53dd |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.