Triple
T33339455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Billboard Music Awards |
E853629
|
entity |
| Predicate | topRapArtistWinner |
P176817
|
FINISHED |
| Object | Lil Wayne |
—
|
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: Lil Wayne | Statement: [2012 Billboard Music Awards, topRapArtistWinner, Lil Wayne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topRapArtistWinner Context triple: [2012 Billboard Music Awards, topRapArtistWinner, Lil Wayne]
-
A.
topR&BArtistWinner
Indicates that the subject is the recipient of a top R&B artist award in a given context or event.
-
B.
topMaleArtistWinner
Indicates that the subject is the male artist who won the top male artist award in a given context or event.
-
C.
topCountryArtistWinner
Indicates that the subject is the artist who won the top country artist award in the specified context or event.
-
D.
topStreamingArtistWinner
Indicates that an entity has received the award for top streaming artist in a given context or event.
-
E.
winnerArtist
Indicates that an artist is the winner of a particular contest, award, or competitive event.
- F. None of above. chosen
Provenance (4 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_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:34 a.m.