Triple
T20162033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mlle. Modiste |
E491730
|
entity |
| Predicate | hasMusicNumberType |
P44121
|
FINISHED |
| Object | solos |
—
|
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: solos | Statement: [Mlle. Modiste, hasMusicNumberType, solos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicNumberType Context triple: [Mlle. Modiste, hasMusicNumberType, solos]
-
A.
hasMusicalNumberIn
Indicates that a musical number (song or performance) appears within or is featured in a specific work, scene, or production.
-
B.
hasMusicCharacteristic
chosen
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
C.
hasMusicUnit
Indicates that one entity includes, is associated with, or is organized into a specific musical unit (such as a band, ensemble, or musical subgroup).
-
D.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
E.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:34 p.m.