Triple
T33339461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Billboard Music Awards |
E853629
|
entity |
| Predicate | topChristianArtistWinner |
P169945
|
FINISHED |
| Object | Casting Crowns |
—
|
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: Casting Crowns | Statement: [2012 Billboard Music Awards, topChristianArtistWinner, Casting Crowns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topChristianArtistWinner Context triple: [2012 Billboard Music Awards, topChristianArtistWinner, Casting Crowns]
-
A.
winnerArtist
chosen
Indicates that an artist is the winner of a particular contest, award, or competitive event.
-
B.
topFemaleArtistWinner
Indicates that the subject is the winner of an award or recognition for being the top female artist in a given context or competition.
-
C.
winningPerformer
Indicates that the referenced performer is the one who achieved victory or first place in a particular competition, event, or contest.
-
D.
conductorOfWinningSong
Indicates that an entity served as the conductor for the song that won a particular competition or award.
-
E.
recordOfTheYearWinnerArtist
Indicates the artist who won the Record of the Year award for a given recording or year.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.