Triple
T29224731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time Has Come |
E740899
|
entity |
| Predicate | introducedArtistToGenreScene |
P105280
|
FINISHED |
| Object | Martina McBride |
—
|
NE NERFINISHED |
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: Martina McBride | Statement: [The Time Has Come, introducedArtistToGenreScene, Martina McBride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedArtistToGenreScene Context triple: [The Time Has Come, introducedArtistToGenreScene, Martina McBride]
-
A.
genreIntroduced
Indicates that a particular genre was first introduced, originated, or came into existence at a specific time, place, or by a specific agent.
-
B.
influencedArtist
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
-
C.
recordedGenreArtist
Indicates that an artist has recorded music in a particular genre.
-
D.
knownForMusicGenre
Indicates that an entity is recognized or notable for producing, performing, or being associated with a particular music genre.
-
E.
notableArtistLaunched
chosen
Indicates that an artist gained significant recognition or prominence as a result of the referenced entity or event.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 28, 2026, 12:16 p.m.