Triple
T1432768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Prerogative |
E30486
|
entity |
| Predicate | chartPositionCanadianRPMTopSingles |
P28443
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [My Prerogative, chartPositionCanadianRPMTopSingles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionCanadianRPMTopSingles Context triple: [My Prerogative, chartPositionCanadianRPMTopSingles, 1]
-
A.
chartPositionCanada
Indicates the position or ranking of something on a chart specifically within Canada.
-
B.
chartPositionUSBillboardHotCountrySingles
Indicates the position a song or record achieved on the US Billboard Hot Country Singles chart.
-
C.
chartPositionUSHotR&BHipHopSongs
Indicates the position an item holds on the U.S. Billboard Hot R&B/Hip-Hop Songs chart.
-
D.
chartPositionFrenchSinglesChart
Indicates the position an item holds on the French singles music chart.
-
E.
chartPositionUSBillboardAdultContemporary
Indicates the position an item reached on the US Billboard Adult Contemporary music 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69a4c4feea448190b2b5071b28a5b608 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.