Triple
T37381433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easter Oratorio |
E928440
|
entity |
| Predicate | hasChoralParts |
P196835
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Easter Oratorio, hasChoralParts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChoralParts Context triple: [Easter Oratorio, hasChoralParts, yes]
-
A.
hasChoralArrangement
Indicates that one entity is a choral arrangement version or setting of another entity (typically an original musical work).
-
B.
hasChoralArrangementsBy
Indicates that one entity (typically a musical work) has choral arrangements created or adapted by the specified entity.
-
C.
hasChoralScenes
Indicates that the work contains scenes featuring a choir or choral performances.
-
D.
hasChoralQuality
chosen
Indicates that something possesses characteristics typical of choral music, such as multiple voices or parts combining in a coordinated, ensemble-like manner.
-
E.
hasChoralText
Indicates that a musical work includes text intended to be sung by a choir.
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: May 3, 2026, 4:16 p.m.