Generator
E503802
"Generator" is a 1992 punk rock album by Bad Religion that marked a darker, more experimental turn in the band's melodic hardcore sound.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Generator canonical | 3 |
| Generator (song) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5215180 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Generator Context triple: [Bad Religion, notableWork, Generator]
-
A.
Gerar
Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
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B.
ExampleGen
ExampleGen is a TensorFlow Extended (TFX) component responsible for ingesting and converting raw data into standardized examples for machine learning pipelines.
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C.
Generation
Generation is a youth-focused program of the Berlin International Film Festival that showcases films for and about children and teenagers.
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D.
Generator Entertainment
Generator Entertainment is a television production company known for its involvement in high-profile series such as the first season of "Game of Thrones."
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E.
SchemaGen
SchemaGen is a TensorFlow Extended (TFX) component that automatically infers and generates data schemas by analyzing example datasets for use in machine learning pipelines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Generator Target entity description: "Generator" is a 1992 punk rock album by Bad Religion that marked a darker, more experimental turn in the band's melodic hardcore sound.
-
A.
Gerar
Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
-
B.
ExampleGen
ExampleGen is a TensorFlow Extended (TFX) component responsible for ingesting and converting raw data into standardized examples for machine learning pipelines.
-
C.
Generation
Generation is a youth-focused program of the Berlin International Film Festival that showcases films for and about children and teenagers.
-
D.
Generator Entertainment
Generator Entertainment is a television production company known for its involvement in high-profile series such as the first season of "Game of Thrones."
-
E.
SchemaGen
SchemaGen is a TensorFlow Extended (TFX) component that automatically infers and generates data schemas by analyzing example datasets for use in machine learning pipelines.
- F. None of above. chosen
Statements (47)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Generator Description of subject: "Generator" is a 1992 punk rock album by Bad Religion that marked a darker, more experimental turn in the band's melodic hardcore sound.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.