Triple
T28146272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serenade to a Bus Seat |
E714490
|
entity |
| Predicate | recordedInGenrePeriod |
P63840
|
FINISHED |
| Object | 1950s hard bop era |
—
|
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: 1950s hard bop era | Statement: [Serenade to a Bus Seat, recordedInGenrePeriod, 1950s hard bop era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedInGenrePeriod Context triple: [Serenade to a Bus Seat, recordedInGenrePeriod, 1950s hard bop era]
-
A.
hasGenrePeriod
chosen
Indicates a relationship where an entity is associated with a specific historical or stylistic period that characterizes its genre.
-
B.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
C.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
D.
recordedGenreArtist
Indicates that an artist has recorded music in a particular genre.
-
E.
genreOfRecordedWork
Indicates that a recorded work (such as a song, album, or audio piece) belongs to a particular artistic or musical genre.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 9:56 p.m.