Triple

T27615266

Position	Surface form	Disambiguated ID	Type / Status
Subject	Microsoft Dynamic Language Runtime team	`E700422`	entity
Predicate	documentationPublishedOn	`P164511`	FINISHED
Object	MSDN MSDN (Microsoft Developer Network) is Microsoft's primary online resource and documentation hub for developers working with Microsoft technologies and platforms.	`E183345`	NE FINISHED

How this triple was built (3 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: MSDN | Statement: [Microsoft Dynamic Language Runtime team, documentationPublishedOn, MSDN]

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: MSDN
Triple: [Microsoft Dynamic Language Runtime team, documentationPublishedOn, MSDN]

Generated description

MSDN (Microsoft Developer Network) is Microsoft's primary online resource and documentation hub for developers working with Microsoft technologies and platforms.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: documentationPublishedOn
Context triple: [Microsoft Dynamic Language Runtime team, documentationPublishedOn, MSDN]

A. documentTypePublished
Indicates that a specific type or category of document has been formally published or made publicly available.
B. publishedFor
Indicates that something (such as a work, document, or content) is published with a particular audience, recipient, or target group in mind.
C. hasPublicationDate
Indicates that an entity is associated with the specific date on which it was published.
D. finalPublicationDate
Indicates the date on which a work is officially and definitively published in its final form.
E. documentationProvidedAt
Indicates that documentation is supplied, made available, or presented at a specific time, place, or context.
F. None of above. chosen

Provenance (7 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_69ef6a4f1d9c8190b0705acda054368d`	completed	April 27, 2026, 1:53 p.m.
NER	Named-entity recognition	`batch_69f64e6e8c9081908ce4d364aa26147a`	completed	May 2, 2026, 7:20 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12d0efa9448190a53a6f8ed0c4d3af`	completed	May 24, 2026, 10:20 a.m.
NEDg	Description generation	`batch_6a12d4c2e97c81908ae5048a0afd4bc7`	completed	May 24, 2026, 10:36 a.m.
NED2	Entity disambiguation (via description)	`batch_6a12d52ae1ac8190a4ff238fc17fbab2`	completed	May 24, 2026, 10:38 a.m.
PD	Predicate disambiguation	`batch_69f64cacd2c08190aed8a1761d0da679`	completed	May 2, 2026, 7:12 p.m.
PDg	Predicate description generation	`batch_69f64db8ee1881909362701d72ffe282`	completed	May 2, 2026, 7:17 p.m.

Created at: April 27, 2026, 2:12 p.m.