Triple
T6414926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Hot N***a" |
E127800
|
entity |
| Predicate | enteredBillboardHot100Top10Year |
P70531
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: ["Hot N***a", enteredBillboardHot100Top10Year, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredBillboardHot100Top10Year Context triple: ["Hot N***a", enteredBillboardHot100Top10Year, 2014]
-
A.
yearEndChartUSBillboardHot100
Indicates that the subject achieved a position on the U.S. Billboard Hot 100 year-end chart in the specified year.
-
B.
chartPeakDateUSBillboardHot100
Indicates the date on which a song or album reached its highest position on the US Billboard Hot 100 chart.
-
C.
weeksAtNumberOneUSBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the US Billboard Hot 100 chart.
-
D.
decadeRankingBillboard2000s
Indicates the ranking position an item achieved on Billboard’s overall chart summarizing performance across the entire 2000s decade.
-
E.
weeksAtNumberOneOnBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the Billboard Hot 100 chart.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068e6bd3881909b1979de5cdf17fb |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:42 p.m.