Triple
T29039704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Short Is K-Ra-Zy for Gershwin |
E737961
|
entity |
| Predicate | hasComposersInterpreted |
P201843
|
FINISHED |
| Object | George Gershwin |
—
|
NE NERFINISHED |
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: George Gershwin | Statement: [Bobby Short Is K-Ra-Zy for Gershwin, hasComposersInterpreted, George Gershwin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposersInterpreted Context triple: [Bobby Short Is K-Ra-Zy for Gershwin, hasComposersInterpreted, George Gershwin]
-
A.
composerOfSongsInterpreted
Indicates that one entity is the composer of songs that are performed or interpreted by another entity.
-
B.
hasMusicalComposer
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
-
C.
hasCoComposer
Indicates that an entity shares authorship of a musical composition with one or more other composers.
-
D.
hasGenreAsComposer
Indicates that an entity, in its role as a composer, is associated with a specific musical or artistic genre.
-
E.
hasBandMemberAsComposer
Indicates that a band has one of its own members serving as the composer of a musical work.
- F. None of above. chosen
Provenance (4 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_6a00296249d48190b2de7af946126eaf |
completed | May 10, 2026, 6:44 a.m. |
Created at: April 28, 2026, 10:01 a.m.