Triple
T3078584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolby Digital |
E64199
|
entity |
| Predicate | usesTransform |
P17711
|
FINISHED |
| Object |
MDCT
MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
|
E324964
|
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: MDCT | Statement: [Dolby Digital, usesTransform, MDCT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDCT Context triple: [Dolby Digital, usesTransform, MDCT]
-
A.
CT
CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
-
B.
CT
CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
-
C.
CT
CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
-
D.
CT scanners
CT scanners are advanced medical imaging devices that use X-rays and computer processing to create detailed cross-sectional images of the body for diagnostic purposes.
-
E.
ECT
ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
- 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: MDCT Triple: [Dolby Digital, usesTransform, MDCT]
Generated description
MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDCT Target entity description: MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
-
A.
CT
CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
-
B.
CT
CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
-
C.
CT
CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
-
D.
CT scanners
CT scanners are advanced medical imaging devices that use X-rays and computer processing to create detailed cross-sectional images of the body for diagnostic purposes.
-
E.
ECT
ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTransform Context triple: [Dolby Digital, usesTransform, MDCT]
-
A.
transformsUnder
Indicates a relationship where one entity changes form, state, or structure when subjected to the influence, conditions, or operation specified by another entity.
-
B.
transformedWith
chosen
Indicates that one entity has been changed, altered, or converted into a different state, form, or representation through the use or application of another specified entity (such as a tool, method, or process).
-
C.
regionTransformed
Indicates that one region has been changed or converted into another region through some transformation process.
-
D.
usesUniform
Indicates that one entity regularly wears or employs a standardized set of clothing or equipment designated as a uniform.
-
E.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a86a848190a47ca127cc7e6326 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f890a21c8190bcb78fe5c9ec6e75 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f9883fa48190b41921bcfbe55e59 |
completed | March 11, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9f759408190a4f2121078fe13cb |
completed | March 11, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69ad9debb6308190be28378ae1fc98af |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:02 p.m.