Object Linking and Embedding
E701322
Object Linking and Embedding (OLE) is a Microsoft technology that enables embedding and linking to documents and other objects across different applications within the Windows environment.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Object Linking and Embedding canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T7894786 — 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: Object Linking and Embedding Context triple: [Component Object Model, extends, Object Linking and Embedding]
-
A.
Maschinelles Austauschformat für Bibliotheken
Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
-
B.
RDF
RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
-
C.
S-100 metadata framework
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
D.
Z Object Publishing Environment
Z Object Publishing Environment is an open-source web application server and framework written in Python, best known for its object-oriented approach to building dynamic web applications.
-
E.
MODS (Metadata Object Description Schema)
MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
- 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: Object Linking and Embedding Target entity description: Object Linking and Embedding (OLE) is a Microsoft technology that enables embedding and linking to documents and other objects across different applications within the Windows environment.
-
A.
Maschinelles Austauschformat für Bibliotheken
Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
-
B.
RDF
RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
-
C.
S-100 metadata framework
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
D.
Z Object Publishing Environment
Z Object Publishing Environment is an open-source web application server and framework written in Python, best known for its object-oriented approach to building dynamic web applications.
-
E.
MODS (Metadata Object Description Schema)
MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Microsoft technology
ⓘ
compound document technology ⓘ software component technology ⓘ |
| abbreviation | OLE NERFINISHED ⓘ |
| acronymOf | OLE NERFINISHED ⓘ |
| allows |
automatic updating of linked objects when the source changes
ⓘ
editing of embedded objects with their native application ⓘ insertion of one application's data into another application's document ⓘ |
| basedOn | Component Object Model NERFINISHED ⓘ |
| category |
document embedding technology
ⓘ
inter-application communication technology ⓘ |
| componentOf | Microsoft Windows architecture ⓘ |
| developer | Microsoft ⓘ |
| documentationURL | https://learn.microsoft.com/en-us/windows/win32/com/object-linking-and-embedding ⓘ |
| enables |
embedding of objects between applications
ⓘ
linking of objects between applications ⓘ |
| hasComponent |
OLE client
ⓘ
OLE server ⓘ |
| hasFeature |
clipboard-based object embedding
ⓘ
drag-and-drop object embedding ⓘ in-place activation of embedded objects ⓘ |
| influenced |
ActiveX Controls
NERFINISHED
ⓘ
COM-based automation technologies ⓘ |
| introducedBy | Microsoft in early 1990s ⓘ |
| operatingSystem |
Windows
ⓘ
surface form:
Microsoft Windows
|
| platform | Windows ⓘ |
| purpose | to allow documents and other objects to be shared across different Windows applications ⓘ |
| relatedTo |
ActiveX
NERFINISHED
ⓘ
Component Object Model NERFINISHED ⓘ Dynamic Data Exchange NERFINISHED ⓘ OLE Automation NERFINISHED ⓘ Object Linking and Embedding for Process Control NERFINISHED ⓘ |
| shortName | OLE NERFINISHED ⓘ |
| successorTo | Dynamic Data Exchange in many use cases ⓘ |
| supports |
OLE compound file format
ⓘ
binary object storage ⓘ compound documents ⓘ embedded objects ⓘ linked objects ⓘ |
| usedFor | integrating graphics, spreadsheets, and other objects into documents ⓘ |
| usedIn |
Microsoft Access
NERFINISHED
ⓘ
Microsoft Excel NERFINISHED ⓘ Microsoft PowerPoint NERFINISHED ⓘ Microsoft Word NERFINISHED ⓘ many third-party Windows applications ⓘ |
| uses |
OLE containers
ⓘ
OLE objects ⓘ OLE servers ⓘ |
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: Object Linking and Embedding Description of subject: Object Linking and Embedding (OLE) is a Microsoft technology that enables embedding and linking to documents and other objects across different applications within the Windows environment.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.