Triple
T38642389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Sound Studio |
E938632
|
entity |
| Predicate | associatedCityMusicScene |
P56238
|
FINISHED |
| Object | Memphis music scene |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Memphis music scene | Statement: [American Sound Studio, associatedCityMusicScene, Memphis music scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCityMusicScene Context triple: [American Sound Studio, associatedCityMusicScene, Memphis music scene]
-
A.
associatedWithMusicScene
chosen
Indicates a relationship where an entity is connected or linked to a particular music scene, culture, or community.
-
B.
associatedCityEvent
Indicates a relationship where a city is linked to, involved in, or serves as the location for a particular event.
-
C.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
D.
collaboratingCity
Indicates that two cities are working together in a cooperative or joint effort, such as on projects, initiatives, or shared goals.
-
E.
typicalVenueCity
Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
- F. None of above.
Provenance (3 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.