Triple
T27202939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toto’s Theme |
E683783
|
entity |
| Predicate | hasMainComposerRole |
P195805
|
FINISHED |
| Object | primary thematic material for Toto |
—
|
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: primary thematic material for Toto | Statement: [Toto’s Theme, hasMainComposerRole, primary thematic material for Toto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainComposerRole Context triple: [Toto’s Theme, hasMainComposerRole, primary thematic material for Toto]
-
A.
hasMusicalComposer
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
-
B.
hasBandMemberAsComposer
Indicates that a band has one of its own members serving as the composer of a musical work.
-
C.
composerOfMainWork
Indicates that one entity is the composer who created the primary or main work associated with another entity.
-
D.
hasCoComposer
Indicates that an entity shares authorship of a musical composition with one or more other composers.
-
E.
hasComposerInResidence
Indicates that an organization or institution has officially appointed a specific composer to serve in a resident or ongoing compositional role.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
| PDg | Predicate description generation | batch_69fde9fb68388190ada4a7018e2a2f76 |
completed | May 8, 2026, 1:49 p.m. |
Created at: April 27, 2026, 9:37 a.m.