Triple
T6821450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Prince |
E156906
|
entity |
| Predicate | hasSoldCopies |
P44135
|
FINISHED |
| Object | over 100 million |
—
|
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: over 100 million | Statement: [The Little Prince, hasSoldCopies, over 100 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoldCopies Context triple: [The Little Prince, hasSoldCopies, over 100 million]
-
A.
soldCopies
chosen
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
B.
hasSoldOver
Indicates that one entity has sold a quantity of something exceeding a specified threshold or the amount sold by another entity.
-
C.
hasAlbumSales
Indicates that an entity (typically an album or artist) is associated with a specific quantity or record of album sales.
-
D.
soldDuring
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
E.
soldProducts
Indicates that an entity has sold certain products to another entity or in a particular context.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d35a8af08190a172c7baa16a3b62 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:17 p.m.