Triple
T9424832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Controversy |
E227239
|
entity |
| Predicate | recordedAt |
P7677
|
FINISHED |
| Object |
Sunset Sound
Sunset Sound is a legendary Los Angeles recording studio renowned for hosting sessions by major artists across rock, pop, and film soundtracks since the 1960s.
|
E797841
|
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: Sunset Sound | Statement: [Controversy, recordedAt, Sunset Sound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunset Sound Context triple: [Controversy, recordedAt, Sunset Sound]
-
A.
Daybrook
Daybrook is a suburban area in Nottinghamshire, England, forming part of the greater Arnold urban region.
-
B.
Sunset Rock
Sunset Rock is a popular scenic overlook on Lookout Mountain known for its expansive views and striking sunsets.
-
C.
Sunset Country
Sunset Country is a scenic region in northwestern Ontario, Canada, known for its lakes, forests, and outdoor recreation such as fishing, boating, and camping.
-
D.
Sunset Road
Sunset Road is a significant east–west thoroughfare in Enterprise, Nevada, serving as a key connector within the Las Vegas Valley road network.
-
E.
Hold the Sunset
Hold the Sunset is a British television sitcom about late-life romance and family complications, starring Alison Steadman alongside John Cleese.
- 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: Sunset Sound Triple: [Controversy, recordedAt, Sunset Sound]
Generated description
Sunset Sound is a legendary Los Angeles recording studio renowned for hosting sessions by major artists across rock, pop, and film soundtracks since the 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sunset Sound Target entity description: Sunset Sound is a legendary Los Angeles recording studio renowned for hosting sessions by major artists across rock, pop, and film soundtracks since the 1960s.
-
A.
Daybrook
Daybrook is a suburban area in Nottinghamshire, England, forming part of the greater Arnold urban region.
-
B.
Sunset Rock
Sunset Rock is a popular scenic overlook on Lookout Mountain known for its expansive views and striking sunsets.
-
C.
Sunset Country
Sunset Country is a scenic region in northwestern Ontario, Canada, known for its lakes, forests, and outdoor recreation such as fishing, boating, and camping.
-
D.
Sunset Road
Sunset Road is a significant east–west thoroughfare in Enterprise, Nevada, serving as a key connector within the Las Vegas Valley road network.
-
E.
Hold the Sunset
Hold the Sunset is a British television sitcom about late-life romance and family complications, starring Alison Steadman alongside John Cleese.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c8f59dc8190854dfc0d287731c6 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107d677c08190a438659c170bab72 |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d1086f03808190896186daa5857e39 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1090215308190beda7c0115020f5b |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:49 p.m.