Triple
T16082570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | (God Must Have Spent) A Little More Time on You |
E390144
|
entity |
| Predicate | coverVersionGenre |
P106515
|
FINISHED |
| Object | country |
—
|
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: country | Statement: [(God Must Have Spent) A Little More Time on You, coverVersionGenre, country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverVersionGenre Context triple: [(God Must Have Spent) A Little More Time on You, coverVersionGenre, country]
-
A.
hasCoverVersionInGenre
chosen
Indicates that an entity has at least one cover version that is performed or produced within a specified musical genre.
-
B.
coverVersionBy
Indicates that one creative work is a cover version performed or produced by a particular artist or entity.
-
C.
coverVersionReleaseYear
Indicates the year in which a particular cover version of an original work was released.
-
D.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
E.
eraCovered
Indicates that one entity temporally encompasses, includes, or spans the historical period or era associated with another entity.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.