Triple
T23829307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smooth |
E589470
|
entity |
| Predicate | decadeEndRanking |
P70289
|
FINISHED |
| Object | Billboard Hot 100 number-one song of the 1990s decade |
—
|
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: Billboard Hot 100 number-one song of the 1990s decade | Statement: [Smooth, decadeEndRanking, Billboard Hot 100 number-one song of the 1990s decade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeEndRanking Context triple: [Smooth, decadeEndRanking, Billboard Hot 100 number-one song of the 1990s decade]
-
A.
yearEndRanking
Indicates the final ranking or position an entity holds at the end of a specified year.
-
B.
decadeRankingBillboard2000s
Indicates the ranking position an item achieved on Billboard’s overall chart summarizing performance across the entire 2000s decade.
-
C.
decadeList
Indicates that an entity is associated with a list of decades, typically representing time periods relevant to that entity.
-
D.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
E.
decadeEndRankingUSBillboardHot1001990s
chosen
Indicates the chart position an entity held on the U.S. Billboard Hot 100 decade-end ranking for the 1990s.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f498c48190827e59df868c5cb1 |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8 p.m.