Triple
T15939745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MQA |
E386526
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object |
MQA Ltd
MQA Ltd is an audio technology company best known for creating the Master Quality Authenticated (MQA) high-resolution audio format used in music streaming and digital distribution.
|
E1185480
|
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: MQA Ltd | Statement: [MQA, developedBy, MQA Ltd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MQA Ltd Context triple: [MQA, developedBy, MQA Ltd]
-
A.
Cage Music Ltd
Cage Music Ltd is a music publishing company involved in managing and licensing song rights.
-
B.
10 Music Ltd
10 Music Ltd is a music publishing company known for handling rights and royalties for songs such as "Domino Dancing."
-
C.
Queen Productions Ltd.
Queen Productions Ltd. is the company that manages the business, recording, and intellectual property interests of the British rock band Queen.
-
D.
MGN Limited
MGN Limited is a British media company best known as the publisher of the Daily Mirror and other national newspapers and magazines.
-
E.
Attacq Limited
Attacq Limited is a South African real estate investment and development company known for developing large-scale retail and mixed-use properties.
- 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: MQA Ltd Triple: [MQA, developedBy, MQA Ltd]
Generated description
MQA Ltd is an audio technology company best known for creating the Master Quality Authenticated (MQA) high-resolution audio format used in music streaming and digital distribution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MQA Ltd Target entity description: MQA Ltd is an audio technology company best known for creating the Master Quality Authenticated (MQA) high-resolution audio format used in music streaming and digital distribution.
-
A.
Cage Music Ltd
Cage Music Ltd is a music publishing company involved in managing and licensing song rights.
-
B.
10 Music Ltd
10 Music Ltd is a music publishing company known for handling rights and royalties for songs such as "Domino Dancing."
-
C.
Queen Productions Ltd.
Queen Productions Ltd. is the company that manages the business, recording, and intellectual property interests of the British rock band Queen.
-
D.
MGN Limited
MGN Limited is a British media company best known as the publisher of the Daily Mirror and other national newspapers and magazines.
-
E.
Attacq Limited
Attacq Limited is a South African real estate investment and development company known for developing large-scale retail and mixed-use properties.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ad9988819089ad7822e0f46177 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5ba070c8190b6af6cb21bddd7f1 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb77a69188190a7b4910a0ce2534c |
completed | May 9, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbbcd0a948190972ddf2202faa85b |
completed | May 9, 2026, 10:57 p.m. |
Created at: April 10, 2026, 4:53 a.m.