Triple
T6284228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World’s Best Selling Asian Artist |
E140857
|
entity |
| Predicate | musicIndustryDomain |
P36203
|
FINISHED |
| Object | recorded music |
—
|
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: recorded music | Statement: [World’s Best Selling Asian Artist, musicIndustryDomain, recorded music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicIndustryDomain Context triple: [World’s Best Selling Asian Artist, musicIndustryDomain, recorded music]
-
A.
musicIndustryRole
Indicates the professional function or position an entity holds within the music industry ecosystem.
-
B.
musicMarket
chosen
Indicates a relationship where an entity participates in, targets, or is associated with a particular market or commercial context for music.
-
C.
musicCareer
Indicates that an entity has a professional involvement or trajectory in the field of music, such as performing, composing, or producing as an occupation.
-
D.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
E.
musicComposedIn
Indicates that a piece of music was created or composed in a specific place or location.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fb6b1c8190b19a674c18fc9c53 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.