Triple
T2188898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. L. James |
E49814
|
entity |
| Predicate | copiesSoldApproximate |
P12799
|
FINISHED |
| Object | over 150 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 150 million | Statement: [E. L. James, copiesSoldApproximate, over 150 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copiesSoldApproximate Context triple: [E. L. James, copiesSoldApproximate, over 150 million]
-
A.
estimatedCopiesPrinted
chosen
Indicates the approximate number of copies of an item that have been printed.
-
B.
soldDuring
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
C.
soldAs
Indicates that one entity is marketed, offered, or presented to others under the name, form, or role of another entity.
-
D.
alsoSoldAs
Indicates that one item is marketed or available under an alternative name, label, or product identity.
-
E.
salePriceApproximate
Indicates that the recorded sale price is an estimated or approximate value rather than an exact amount.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.