Triple
T32832011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humoresque (album) |
E839713
|
entity |
| Predicate | hasWorkTypeInRepertoire |
P91085
|
FINISHED |
| Object | character pieces for violin |
—
|
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: character pieces for violin | Statement: [Humoresque (album), hasWorkTypeInRepertoire, character pieces for violin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkTypeInRepertoire Context triple: [Humoresque (album), hasWorkTypeInRepertoire, character pieces for violin]
-
A.
repertoireIncludes
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
B.
hasMusicalWorkType
chosen
Indicates that a musical work is associated with a specific type or category of musical composition.
-
C.
hasWorkOn
Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
-
D.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
E.
hasRoleInWorkType
Indicates that an entity holds a specific role or function within a particular type or category of work.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 1, 2026, 1:16 a.m.