Triple
T106736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All of Me |
E2153
|
entity |
| Predicate | digitalSalesMilestone |
P4916
|
FINISHED |
| Object | one of the best-selling digital singles of all time |
—
|
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: one of the best-selling digital singles of all time | Statement: [All of Me, digitalSalesMilestone, one of the best-selling digital singles of all time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalSalesMilestone Context triple: [All of Me, digitalSalesMilestone, one of the best-selling digital singles of all time]
-
A.
commercializedIn
Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
-
B.
revenueLevel
Indicates the relative amount or tier of revenue associated with an entity or activity.
-
C.
commercialized
Indicates that something has been developed, marketed, or exploited for profit in a commercial context.
-
D.
completionAnniversary
Indicates the date or event marking the anniversary of when something was originally completed.
-
E.
numberBuilt
Indicates the total count of items or structures that have been constructed or produced.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256ec650c8190bee2067e37065527 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563d33788190999d471b486d5603 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.