Triple
T14421361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music Genome Project |
E357590
|
entity |
| Predicate | analyzesFeature |
P170
|
FINISHED |
| Object | melody |
—
|
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: melody | Statement: [Music Genome Project, analyzesFeature, melody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analyzesFeature Context triple: [Music Genome Project, analyzesFeature, melody]
-
A.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
-
B.
featuresInfluence
Indicates that certain features or characteristics have an effect on or contribute to changes in other features, outcomes, or behaviors.
-
C.
analysisType
Indicates the specific kind or category of analysis being applied or performed in relation to an entity or dataset.
-
D.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
E.
analyzes
chosen
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
- 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_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. |
Created at: April 10, 2026, 1:18 a.m.