Triple
T35869614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passionate Kisses (Mary Chapin Carpenter recording) |
E1037183
|
entity |
| Predicate | chartingGenre |
P79352
|
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: [Passionate Kisses (Mary Chapin Carpenter recording), chartingGenre, country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartingGenre Context triple: [Passionate Kisses (Mary Chapin Carpenter recording), chartingGenre, country]
-
A.
chartingArtist
Indicates that an artist has created a work (such as a song or album) that has appeared on an official music chart.
-
B.
genreTrend
Indicates how the popularity or prevalence of a particular genre changes over time or across contexts.
-
C.
genreOfStat
Indicates that a particular genre is the subject or category of a given statistical measurement or dataset.
-
D.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
E.
inArtGenre
chosen
Indicates that an artwork or artistic work belongs to, is classified under, or is created in a particular art genre.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.