Triple
T17490253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Hallyday |
E425883
|
entity |
| Predicate | soldRecordCount |
P44135
|
FINISHED |
| Object | over 100 million records 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: over 100 million records worldwide | Statement: [Johnny Hallyday, soldRecordCount, over 100 million records worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldRecordCount Context triple: [Johnny Hallyday, soldRecordCount, over 100 million records worldwide]
-
A.
soldWellIn
Indicates that something achieved strong sales performance within a particular market, region, or time period.
-
B.
soldDuring
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
C.
soldProducts
Indicates that an entity has sold certain products to another entity or in a particular context.
-
D.
soldCopies
chosen
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
E.
soldTechnologyTo
Indicates that one entity transferred ownership or rights to a technology to another entity in exchange for compensation.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d519488190a08da1b529c08445 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.