Triple
T2172450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Only Had a Brain |
E48455
|
entity |
| Predicate | usesMusicalForm |
P6683
|
FINISHED |
| Object | verse-chorus form |
—
|
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: verse-chorus form | Statement: [If I Only Had a Brain, usesMusicalForm, verse-chorus form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMusicalForm Context triple: [If I Only Had a Brain, usesMusicalForm, verse-chorus form]
-
A.
hasMusicalForm
chosen
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
B.
usesMusicEnsemble
Indicates that one entity employs or incorporates a particular music ensemble in carrying out an action, function, or production.
-
C.
partOfMusical
Indicates that something is a component, segment, or element belonging to a larger musical work or performance.
-
D.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
-
E.
musicalMode
Indicates the specific tonal framework or scale system (mode) in which a piece of music or musical passage is organized.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.