Triple
T25279297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bat Out of Hell |
E633784
|
entity |
| Predicate | estimatedGlobalSales |
P22826
|
FINISHED |
| Object | over 40 million copies |
—
|
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 40 million copies | Statement: [Bat Out of Hell, estimatedGlobalSales, over 40 million copies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedGlobalSales Context triple: [Bat Out of Hell, estimatedGlobalSales, over 40 million copies]
-
A.
bestSellingGame
Indicates that the related game is the top-selling title within a specified group, category, or time period.
-
B.
playedWorldwide
Indicates that something (such as a performance, event, or media content) has been presented or made available in multiple countries across the world.
-
C.
boxOfficeGrossUSD
Indicates the total amount of money an entity earned at the box office, expressed in U.S. dollars.
-
D.
soldCopies
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
E.
salesWorldwide
chosen
Indicates a relationship where an entity’s sales figures or activities are measured, reported, or occur across multiple countries or global markets.
- 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_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:18 p.m.