Triple
T33492961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Meantime |
E857787
|
entity |
| Predicate | hasProminentFalsettoVocals |
P46281
|
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: [In the Meantime, hasProminentFalsettoVocals, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProminentFalsettoVocals Context triple: [In the Meantime, hasProminentFalsettoVocals, yes]
-
A.
featuresFalsettoVocalsBy
Indicates that a musical work includes falsetto singing performed by the specified vocalist or vocal group.
-
B.
hasNotableVocalFocus
Indicates that the subject is characterized by a particularly prominent or emphasized use of voice or vocals.
-
C.
hasSecondaryVocalStyle
Indicates that an entity (typically a performer or recording) employs an additional, non-primary vocal style alongside its main vocal style.
-
D.
hasNotableVocalType
chosen
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
E.
hasBoldSingingStyle
Indicates that an entity performs singing in a manner characterized by confidence, power, and assertiveness.
- 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01a0b63d148190b10206509c0a0a5b |
completed | May 11, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_6a01a0245d4c8190a3c3fbbe83f0389d |
completed | May 11, 2026, 9:23 a.m. |
Created at: May 1, 2026, 1:38 a.m.