Triple
T15776052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC Maida Vale Studios |
E382491
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Studio MV3
Studio MV3 is one of the recording and broadcast studios within the BBC's historic Maida Vale complex, used for producing music and radio sessions.
|
E1177989
|
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: Studio MV3 | Statement: [BBC Maida Vale Studios, hasPart, Studio MV3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Studio MV3 Context triple: [BBC Maida Vale Studios, hasPart, Studio MV3]
-
A.
Studio MV1
Studio MV1 is a notable recording and broadcast space within the BBC’s historic Maida Vale Studios complex in London.
-
B.
Studio MV2
Studio MV2 is one of the recording and broadcast studios within the BBC's historic Maida Vale complex in London.
-
C.
Studio MV5
Studio MV5 is one of the recording and broadcast studios within the BBC’s historic Maida Vale complex in London, used for music sessions and radio productions.
-
D.
Studio Three
Studio Three is one of the recording rooms at the iconic Abbey Road Studios in London, used for music production and audio recording.
-
E.
Marv Studios
Marv Studios is a British film production company best known for producing the Kingsman franchise and other action-comedy and genre films.
- 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: Studio MV3 Triple: [BBC Maida Vale Studios, hasPart, Studio MV3]
Generated description
Studio MV3 is one of the recording and broadcast studios within the BBC's historic Maida Vale complex, used for producing music and radio sessions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Studio MV3 Target entity description: Studio MV3 is one of the recording and broadcast studios within the BBC's historic Maida Vale complex, used for producing music and radio sessions.
-
A.
Studio MV1
Studio MV1 is a notable recording and broadcast space within the BBC’s historic Maida Vale Studios complex in London.
-
B.
Studio MV2
Studio MV2 is one of the recording and broadcast studios within the BBC's historic Maida Vale complex in London.
-
C.
Studio MV5
Studio MV5 is one of the recording and broadcast studios within the BBC’s historic Maida Vale complex in London, used for music sessions and radio productions.
-
D.
Studio Three
Studio Three is one of the recording rooms at the iconic Abbey Road Studios in London, used for music production and audio recording.
-
E.
Marv Studios
Marv Studios is a British film production company best known for producing the Kingsman franchise and other action-comedy and genre films.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998559088190b1f2942564a42ace |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a56d43c8190819deb48d59e16cb |
completed | May 9, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9acbd2b481908b9d415e26d0db81 |
completed | May 9, 2026, 8:36 p.m. |
Created at: April 10, 2026, 4:47 a.m.