Triple

T8288246
Position Surface form Disambiguated ID Type / Status
Subject Gdi32 E193832 entity
Predicate exportsFunction P38257 FINISHED
Object BitBlt
BitBlt is a Windows GDI function that performs fast block transfers of pixel data between device contexts for operations like copying, masking, and raster effects.
 E193832 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: BitBlt | Statement: [Gdi32, exportsFunction, BitBlt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BitBlt
Context triple: [Gdi32, exportsFunction, BitBlt]
  • A. Gdi32
    Gdi32 is a core Windows graphics library that provides functions for drawing text, shapes, and images and managing graphical device interfaces in the Win32 API.
  • B. DIB
    DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • C. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • D. WireImage
    WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
  • E. GDI
    GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
  • 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: BitBlt
Triple: [Gdi32, exportsFunction, BitBlt]
Generated description
BitBlt is a Windows GDI function that performs fast block transfers of pixel data between device contexts for operations like copying, masking, and raster effects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BitBlt
Target entity description: BitBlt is a Windows GDI function that performs fast block transfers of pixel data between device contexts for operations like copying, masking, and raster effects.
  • A. Gdi32 chosen
    Gdi32 is a core Windows graphics library that provides functions for drawing text, shapes, and images and managing graphical device interfaces in the Win32 API.
  • B. DIB
    DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • C. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • D. WireImage
    WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
  • E. GDI
    GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
  • F. None of above.

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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c98e15c8190ac2a0b2a5ff834c9 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68898610819091a76f89cd2a6aa2 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d55196881909cf5ec925792e09f completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e2bdae08190adc51e904e85695e completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.