Triple
T14421355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music Genome Project |
E357590
|
entity |
| Predicate | numberOfAttributesPerSong |
P114197
|
FINISHED |
| Object | hundreds of musical attributes |
—
|
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: hundreds of musical attributes | Statement: [Music Genome Project, numberOfAttributesPerSong, hundreds of musical attributes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAttributesPerSong Context triple: [Music Genome Project, numberOfAttributesPerSong, hundreds of musical attributes]
-
A.
featuresCounterMelody
Indicates that the subject includes or incorporates a secondary melodic line that complements and contrasts with the main melody.
-
B.
musicalAttribute
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
-
C.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
-
D.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
E.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91102c3c81908f571a1fff3bdd47 |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:18 a.m.