Triple
T16098443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D-Most: Mostly Swinging |
E390546
|
entity |
| Predicate | hasMusicalEraFocus |
P38929
|
FINISHED |
| Object | mid-20th-century American popular music |
—
|
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: mid-20th-century American popular music | Statement: [D-Most: Mostly Swinging, hasMusicalEraFocus, mid-20th-century American popular music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalEraFocus Context triple: [D-Most: Mostly Swinging, hasMusicalEraFocus, mid-20th-century American popular music]
-
A.
musicalEra
chosen
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
B.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
C.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
D.
musicalTheatreEra
Indicates the historical period or stylistic era of musical theatre with which an entity is associated.
-
E.
associatedWithArtistEra
Indicates a relationship where an artist is linked to a particular artistic era or period with which their work or influence is identified.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.