Triple
T33339454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Billboard Music Awards |
E853629
|
entity |
| Predicate | topR&BArtistWinner |
P176512
|
FINISHED |
| Object | Chris Brown |
—
|
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: Chris Brown | Statement: [2012 Billboard Music Awards, topR&BArtistWinner, Chris Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topR&BArtistWinner Context triple: [2012 Billboard Music Awards, topR&BArtistWinner, Chris Brown]
-
A.
topMaleArtistWinner
Indicates that the subject is the male artist who won the top male artist award in a given context or event.
-
B.
topBillboard200AlbumWinner
Indicates that an album is the one that reached the number-one position on the Billboard 200 chart for a given time period.
-
C.
topHot100SongWinner
Indicates that the subject is the song that achieved the number one position on the Hot 100 chart for a given time period or award.
-
D.
recordOfTheYearWinnerArtist
Indicates the artist who won the Record of the Year award for a given recording or year.
-
E.
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.
- 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_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:34 a.m.