Triple
T32091087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KHJ (AM) |
E819592
|
entity |
| Predicate | musicEraAssociation |
P38929
|
FINISHED |
| Object | 1960s rock and pop |
—
|
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: 1960s rock and pop | Statement: [KHJ (AM), musicEraAssociation, 1960s rock and pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicEraAssociation Context triple: [KHJ (AM), musicEraAssociation, 1960s rock and pop]
-
A.
musicalEra
chosen
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
B.
associatedWithArtistEra
Indicates a relationship where an artist is linked to a particular artistic era or period with which their work or influence is identified.
-
C.
musicalAssociation
Indicates a relationship where entities are connected through music, such as collaboration, influence, shared performance, or other musically relevant association.
-
D.
genreAssociatedWith
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
-
E.
decadeRecognition
Indicates that an entity is formally recognized, honored, or notable during a specific decade.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 12:25 a.m.