Triple
T2805950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billboard 200 |
E54052
|
entity |
| Predicate | usesDataFrom |
P399
|
FINISHED |
| Object | Luminate Data |
E34904
|
NE 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: Luminate Data | Statement: [Billboard 200, usesDataFrom, Luminate Data]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luminate Data Context triple: [Billboard 200, usesDataFrom, Luminate Data]
-
A.
Luminate Data
chosen
Luminate Data is a music and entertainment data analytics company that tracks and reports industry metrics such as sales, streaming, and airplay used to compile major charts.
-
B.
Luminate
Luminate is a music and entertainment data analytics company known for providing industry-standard charts, sales, and streaming metrics used across the music business.
-
C.
Nielsen
Nielsen is a common Scandinavian surname, particularly prevalent in Denmark and Norway, traditionally meaning "son of Niels."
-
D.
Nielsen SoundScan
Nielsen SoundScan is a music sales tracking system that monitors and reports physical and digital music purchases in the United States and Canada for industry charts and analysis.
-
E.
Nielsen Company
Nielsen Company is a global measurement and data analytics firm best known for providing audience and consumer insights across media, entertainment, and retail industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde165a448190aa2728ec074daf88 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc676d03081908986026dfe5fc852 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:59 p.m.