Triple
T1807701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West–Eastern Divan Orchestra |
E40257
|
entity |
| Predicate | hasTypicalRepertoire |
P3738
|
FINISHED |
| Object | Romantic orchestral works |
—
|
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: Romantic orchestral works | Statement: [West–Eastern Divan Orchestra, hasTypicalRepertoire, Romantic orchestral works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalRepertoire Context triple: [West–Eastern Divan Orchestra, hasTypicalRepertoire, Romantic orchestral works]
-
A.
repertoireIncludes
chosen
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
B.
hasGuitarStyle
Indicates that an entity is associated with, characterized by, or performs using a particular style of guitar playing.
-
C.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
-
D.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
E.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.