Triple

T8823826
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA Image Scaling E209965 entity
Predicate alsoKnownAs P39 FINISHED
Object NIS
NIS is NVIDIA Image Scaling, a driver-based spatial upscaling and sharpening technology designed to improve game performance and visual quality.
 E760437 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: NIS | Statement: [NVIDIA Image Scaling, alsoKnownAs, NIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NIS
Context triple: [NVIDIA Image Scaling, alsoKnownAs, NIS]
  • A. NIS
    NIS (Network Information Service) is a client-server directory service protocol developed by Sun Microsystems to centrally manage and distribute system configuration data such as user and host information across Unix networks.
  • B. NSAS
    NSAS is the ICAO airport code assigned to Ofu Airport in American Samoa.
  • C. NICTS
    NICTS is the government agency responsible for administering courts and tribunals in Northern Ireland.
  • D. NSUI
    NSUI is the student wing of the Indian National Congress, active in universities and colleges across India and involved in student politics and representation.
  • E. NITT
    NITT is a premier public engineering and technology institute in Tiruchirappalli, India, renowned for its rigorous academics and research.
  • 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: NIS
Triple: [NVIDIA Image Scaling, alsoKnownAs, NIS]
Generated description
NIS is NVIDIA Image Scaling, a driver-based spatial upscaling and sharpening technology designed to improve game performance and visual quality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NIS
Target entity description: NIS is NVIDIA Image Scaling, a driver-based spatial upscaling and sharpening technology designed to improve game performance and visual quality.
  • A. NIS
    NIS (Network Information Service) is a client-server directory service protocol developed by Sun Microsystems to centrally manage and distribute system configuration data such as user and host information across Unix networks.
  • B. NSAS
    NSAS is the ICAO airport code assigned to Ofu Airport in American Samoa.
  • C. NICTS
    NICTS is the government agency responsible for administering courts and tribunals in Northern Ireland.
  • D. NSUI
    NSUI is the student wing of the Indian National Congress, active in universities and colleges across India and involved in student politics and representation.
  • E. NITT
    NITT is a premier public engineering and technology institute in Tiruchirappalli, India, renowned for its rigorous academics and research.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc6030b25081909d67488b35a72e05 completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf893e08b0819083c2d152d0f9c263 completed April 3, 2026, 9:32 a.m.
NEDg Description generation batch_69cf8a3d8e548190911d44ee36875d44 completed April 3, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ae86e1881908a77f660c061bf69 completed April 3, 2026, 9:39 a.m.
Created at: March 30, 2026, 6:46 p.m.