Triple

T7894786
Position Surface form Disambiguated ID Type / Status
Subject Component Object Model E183318 entity
Predicate extends P1244 FINISHED
Object Object Linking and Embedding
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.
E701322 NE FINISHED

How this triple was built (4 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: Object Linking and Embedding | Statement: [Component Object Model, extends, Object Linking and Embedding]
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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Object Linking and Embedding
Triple: [Component Object Model, extends, Object Linking and Embedding]
Generated 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.
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

Provenance (5 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a15a7e88190a05474844817e5d2 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bae4bdc8190be7db2ba3acb708a completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb7631d10881908e3c7dacb98520cd completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf847f3c819092d690d8d65f6d60 completed March 31, 2026, 12:35 p.m.
Created at: March 30, 2026, 5:01 p.m.