Triple
T22718748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels, ever bright and fair |
E561803
|
entity |
| Predicate | movementNumberInTheodora |
P12040
|
FINISHED |
| Object | Act 2 aria (soprano) |
—
|
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: Act 2 aria (soprano) | Statement: [Angels, ever bright and fair, movementNumberInTheodora, Act 2 aria (soprano)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementNumberInTheodora Context triple: [Angels, ever bright and fair, movementNumberInTheodora, Act 2 aria (soprano)]
-
A.
movementNumber
chosen
Indicates the specific sequential position of a movement within a larger multi-movement work or performance.
-
B.
numberOfOdes
Indicates the quantity of odes associated with or contained in a given entity.
-
C.
movementNumber3Title
Indicates the specific title assigned to the third movement within a larger multi-movement work.
-
D.
movementNumberInOp130
Indicates the specific movement number of a work within Opus 130.
-
E.
numberOfDances
Indicates the quantity or count of dances associated with a given entity or event.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790fbf9c819082ba7b48801a7b39 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:19 p.m.