Triple

T27836503
Position Surface form Disambiguated ID Type / Status
Subject WSC E703239 entity
Predicate introducedBy P513 FINISHED
Object Microsoft Scripting technologies group
The Microsoft Scripting technologies group was a team within Microsoft responsible for developing and maintaining scripting-related technologies and components used across Windows and web development platforms.
E1790795 NE FINISHED

How this triple was built (2 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: Microsoft Scripting technologies group | Statement: [WSC, introducedBy, Microsoft Scripting technologies group]
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: Microsoft Scripting technologies group
Triple: [WSC, introducedBy, Microsoft Scripting technologies group]
Generated description
The Microsoft Scripting technologies group was a team within Microsoft responsible for developing and maintaining scripting-related technologies and components used across Windows and web development platforms.

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_69ef840b94b08190950a4f77296938b2 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f638d1e1e081909d1cb5e7243a7a86 completed May 2, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f7323bc08190a530c747ce68c5ed completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12f7ec5a388190912cedf024233dee completed May 24, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_6a12fbaac4c8819080293672dd321aa9 completed May 24, 2026, 1:22 p.m.
Created at: April 27, 2026, 6 p.m.