Triple

T1719919
Position Surface form Disambiguated ID Type / Status
Subject DirectShow E37365 entity
Predicate abbreviation P43 FINISHED
Object DS
DS is a Microsoft multimedia framework and API used for capturing, processing, and playing audio and video streams on Windows.
 E193859 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: DS | Statement: [DirectShow, abbreviation, DS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DS
Context triple: [DirectShow, abbreviation, DS]
  • A. DS
    DS is the Directorate of Support, a key administrative and logistical branch responsible for providing essential support services within an intelligence or governmental organization.
  • B. DS
    DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
  • C. SD
    SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
  • D. SD
    SD is the abbreviated name commonly used for the SS Security Service, the intelligence and security agency of Nazi Germany’s Schutzstaffel.
  • E. SD
    SD is the commonly used abbreviation for Norway's Ministry of Transport, the government body responsible for national transport policy and infrastructure.
  • 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: DS
Triple: [DirectShow, abbreviation, DS]
Generated description
DS is a Microsoft multimedia framework and API used for capturing, processing, and playing audio and video streams on Windows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DS
Target entity description: DS is a Microsoft multimedia framework and API used for capturing, processing, and playing audio and video streams on Windows.
  • A. DS
    DS is the Directorate of Support, a key administrative and logistical branch responsible for providing essential support services within an intelligence or governmental organization.
  • B. DS
    DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
  • C. SD
    SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
  • D. SD
    SD is the abbreviated name commonly used for the SS Security Service, the intelligence and security agency of Nazi Germany’s Schutzstaffel.
  • E. SD
    SD is the commonly used abbreviation for Norway's Ministry of Transport, the government body responsible for national transport policy and infrastructure.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa633934a4819083f2929da03453a8 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae98cd88190af4dc46679b3d93f completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957bd63c819099a508ca5c4102cc completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b18f9c8190a9c5ed80b5ed0195 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.