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.