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.