Triple

T4239026
Position Surface form Disambiguated ID Type / Status
Subject H.265 E94764 entity
Predicate entropyCodingMethod P33682 FINISHED
Object Context-Adaptive Binary Arithmetic Coding
Context-Adaptive Binary Arithmetic Coding (CABAC) is an advanced lossless entropy coding technique used in modern video compression standards to achieve high compression efficiency by modeling symbol probabilities with context.
E423519 NE FINISHED

How this triple was built (5 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: Context-Adaptive Binary Arithmetic Coding | Statement: [H.265, entropyCodingMethod, Context-Adaptive Binary Arithmetic Coding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Context-Adaptive Binary Arithmetic Coding
Context triple: [H.265, entropyCodingMethod, Context-Adaptive Binary Arithmetic Coding]
  • A. Advanced Audio Coding
    Advanced Audio Coding is a lossy digital audio compression format designed to provide better sound quality than MP3 at similar or lower bitrates and widely used in streaming, broadcasting, and multimedia applications.
  • B. Huffman
    Huffman is a surname most commonly associated with the American computer scientist David A. Huffman, known for developing Huffman coding in information theory and data compression.
  • C. Scott encoding
    Scott encoding is a method in lambda calculus for representing algebraic data types and their pattern matching behavior using higher-order functions.
  • D. LDPC
    LDPC (Low-Density Parity-Check) is a powerful class of linear error-correcting codes known for near-Shannon-limit performance and widespread use in modern high-throughput communication systems.
  • E. ISO/IEC 14496-3
    ISO/IEC 14496-3 is an international standard that specifies the audio coding technologies of MPEG-4, including Advanced Audio Coding (AAC) and related audio formats.
  • 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: Context-Adaptive Binary Arithmetic Coding
Triple: [H.265, entropyCodingMethod, Context-Adaptive Binary Arithmetic Coding]
Generated description
Context-Adaptive Binary Arithmetic Coding (CABAC) is an advanced lossless entropy coding technique used in modern video compression standards to achieve high compression efficiency by modeling symbol probabilities with context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Context-Adaptive Binary Arithmetic Coding
Target entity description: Context-Adaptive Binary Arithmetic Coding (CABAC) is an advanced lossless entropy coding technique used in modern video compression standards to achieve high compression efficiency by modeling symbol probabilities with context.
  • A. Advanced Audio Coding
    Advanced Audio Coding is a lossy digital audio compression format designed to provide better sound quality than MP3 at similar or lower bitrates and widely used in streaming, broadcasting, and multimedia applications.
  • B. Huffman
    Huffman is a surname most commonly associated with the American computer scientist David A. Huffman, known for developing Huffman coding in information theory and data compression.
  • C. Scott encoding
    Scott encoding is a method in lambda calculus for representing algebraic data types and their pattern matching behavior using higher-order functions.
  • D. LDPC
    LDPC (Low-Density Parity-Check) is a powerful class of linear error-correcting codes known for near-Shannon-limit performance and widespread use in modern high-throughput communication systems.
  • E. ISO/IEC 14496-3
    ISO/IEC 14496-3 is an international standard that specifies the audio coding technologies of MPEG-4, including Advanced Audio Coding (AAC) and related audio formats.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: entropyCodingMethod
Context triple: [H.265, entropyCodingMethod, Context-Adaptive Binary Arithmetic Coding]
  • A. dataEncodingMethod chosen
    Indicates the specific technique or format used to encode data for storage, transmission, or processing.
  • B. colorEncodingMethod
    Indicates the method or scheme used to represent or encode color information.
  • C. compressionType
    Indicates the method or format used to compress data or content in the relationship.
  • D. decodingMethod
    Indicates the technique or process used to convert encoded or encrypted data back into its original, interpretable form.
  • E. encodes
    Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
  • F. None of above.

Provenance (6 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e76b6e0819084d0ce137b5ba74e completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a86c95008190b11832c741a11042 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a983cfd88190b702c420d6dbc201 completed March 14, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69b5aa00bcd88190ad2fba212861c712 completed March 14, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69b347f587148190a1830503459939b6 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:05 p.m.