Triple
T242517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becoming |
E4962
|
entity |
| Predicate | sales |
P7218
|
FINISHED |
| Object | millions of copies worldwide |
—
|
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: millions of copies worldwide | Statement: [Becoming, sales, millions of copies worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sales Context triple: [Becoming, sales, millions of copies worldwide]
-
A.
seller
Indicates a relationship where one entity offers or provides goods, services, or assets to another in exchange for payment or other compensation.
-
B.
market
Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
-
C.
revenue
chosen
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
D.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
E.
businessVenture
Indicates a relationship where entities jointly engage in, operate, or are involved with a commercial or entrepreneurial undertaking.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.