Triple
T19584663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow (Hey Oh) |
E490078
|
entity |
| Predicate | hasMelodicVocals |
P4543
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Snow (Hey Oh), hasMelodicVocals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMelodicVocals Context triple: [Snow (Hey Oh), hasMelodicVocals, true]
-
A.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
B.
hasMelody
chosen
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
C.
hasMelodicHook
Indicates that a musical piece contains a distinctive, memorable melodic phrase designed to catch the listener’s attention.
-
D.
hasEmotiveVocals
Indicates that the subject produces vocals characterized by strong or expressive emotion.
-
E.
hasEnergeticVocals
Indicates that the subject performs vocals characterized by high energy, intensity, or liveliness.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64050127c8190b93b8716a1a4ad81 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.