Triple
T2288677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Latin Artist |
E51452
|
entity |
| Predicate | hasSubgenreScope |
P15287
|
FINISHED |
| Object | Latin pop |
—
|
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: Latin pop | Statement: [Top Latin Artist, hasSubgenreScope, Latin pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubgenreScope Context triple: [Top Latin Artist, hasSubgenreScope, Latin pop]
-
A.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
B.
hasSubConcept
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
-
C.
hasSubstyle
Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
-
D.
subgenre
chosen
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
E.
hasCategoryWithin
Indicates that one category is contained within or is a subcategory of another category.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2497ce881909b05eb9cec67d9e7 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbb9e4c819085fc588626ec7c09 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.