Triple
T5680734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DBDT |
E125191
|
entity |
| Predicate | hasRepertoryCharacteristic |
P44121
|
FINISHED |
| Object | diverse repertory |
—
|
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: diverse repertory | Statement: [DBDT, hasRepertoryCharacteristic, diverse repertory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepertoryCharacteristic Context triple: [DBDT, hasRepertoryCharacteristic, diverse repertory]
-
A.
hasPerformerCharacteristic
Indicates that a performer possesses a particular attribute, quality, or characteristic.
-
B.
repertoireIncludes
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
C.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
D.
hasMusicCharacteristic
chosen
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
E.
hasCulturalFeature
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.