Triple
T25278835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Lee Aday |
E633772
|
entity |
| Predicate | soldCopiesOfWork |
P44135
|
FINISHED |
| Object | Bat Out of Hell sold over 40 million 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: Bat Out of Hell sold over 40 million copies worldwide | Statement: [Michael Lee Aday, soldCopiesOfWork, Bat Out of Hell sold over 40 million copies worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldCopiesOfWork Context triple: [Michael Lee Aday, soldCopiesOfWork, Bat Out of Hell sold over 40 million copies worldwide]
-
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.
soldWellIn
Indicates that something achieved strong sales performance within a particular market, region, or time period.
-
C.
soldDuring
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
D.
soldProducts
Indicates that an entity has sold certain products to another entity or in a particular context.
-
E.
soldUntil
Indicates that the availability or sale of an item continues up to, but not beyond, a specified time or date.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e01001c8190b57c66866ec9f626 |
completed | May 1, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:18 p.m.