Triple
T31158972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunger of the Pine |
E794286
|
entity |
| Predicate | includesVocalSample |
P121092
|
FINISHED |
| Object | Miley Cyrus |
—
|
NE NERFINISHED |
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: Miley Cyrus | Statement: [Hunger of the Pine, includesVocalSample, Miley Cyrus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesVocalSample Context triple: [Hunger of the Pine, includesVocalSample, Miley Cyrus]
-
A.
containsVocalSamplesFrom
Indicates that one audio work includes vocal samples that originate from another audio work.
-
B.
usesVocalSamples
chosen
Indicates that one entity incorporates recorded vocal sounds from another source into its own audio or musical production.
-
C.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
D.
includesScratchVocalsFrom
Indicates that one audio recording or track contains scratch (temporary or demo) vocal parts taken from another recording or session.
-
E.
containsVocalHarmonies
Indicates that the subject includes multiple vocal parts sung together in harmony.
- 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00c59b03dc8190870f0dd24603a1ef |
completed | May 10, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_6a00c5178bc88190b2a0e03f38314035 |
completed | May 10, 2026, 5:49 p.m. |
Created at: April 29, 2026, 9:07 p.m.