Triple
T17678676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Been Around the World |
E440708
|
entity |
| Predicate | usesVocalHook |
P79253
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Been Around the World, usesVocalHook, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVocalHook Context triple: [Been Around the World, usesVocalHook, yes]
-
A.
usesVocalSamples
Indicates that one entity incorporates recorded vocal sounds from another source into its own audio or musical production.
-
B.
hasChorusHook
chosen
Indicates that a musical work features a prominent, recurring chorus section that serves as a memorable hook.
-
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.
usesVocalInstrument
Indicates that an entity performs or produces sound using their voice as a musical instrument.
-
E.
hasVocalProcessing
Indicates that an entity’s vocal audio has been altered or enhanced through some form of signal processing.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6f8054819087b2fe9bc8ad8d2f |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:01 a.m.