Triple
T10260906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from Mahogany (Do You Know Where You’re Going To) |
E240590
|
entity |
| Predicate | chartPositionUSBillboardHotSoulSingles |
P42894
|
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: [Theme from Mahogany (Do You Know Where You’re Going To), chartPositionUSBillboardHotSoulSingles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionUSBillboardHotSoulSingles Context triple: [Theme from Mahogany (Do You Know Where You’re Going To), chartPositionUSBillboardHotSoulSingles, 1]
-
A.
chartPositionUSHotSoulSingles
chosen
Indicates the position an item reached on the US Hot Soul Singles music chart.
-
B.
chartPositionUSBillboardHotCountrySingles
Indicates the position a song or record achieved on the US Billboard Hot Country Singles chart.
-
C.
chartPositionUSBillboardHot100Peak
Indicates the highest ranking an item has ever reached on the US Billboard Hot 100 chart.
-
D.
chartPositionUSBillboardPop
Indicates the position an item reached on the U.S. Billboard pop music charts.
-
E.
chartPositionBillboardHot100Debut
Indicates the chart position at which something first debuted on the Billboard Hot 100 chart.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:32 a.m.