Triple
T30481483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celeste Aida |
E775598
|
entity |
| Predicate | musicalDifficulty |
P2406
|
FINISHED |
| Object | technically demanding tenor aria |
—
|
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: technically demanding tenor aria | Statement: [Celeste Aida, musicalDifficulty, technically demanding tenor aria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalDifficulty Context triple: [Celeste Aida, musicalDifficulty, technically demanding tenor aria]
-
A.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
-
B.
musicMeter
Indicates the rhythmic structure or time signature governing how beats are organized within a piece of music.
-
C.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
D.
hasRhythmicComplexity
Indicates that one entity exhibits or involves a level of rhythmic intricacy or variation in relation to another entity or context.
-
E.
melodyMeter
Indicates a relationship where a melody is associated with, or structured according to, a specific metrical pattern or time signature.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 29, 2026, 8:12 p.m.