Triple
T25919161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Positions (remixes) |
E653118
|
entity |
| Predicate | vocalTypeOfLeadArtist |
P135747
|
FINISHED |
| Object | soprano |
—
|
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: soprano | Statement: [Positions (remixes), vocalTypeOfLeadArtist, soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalTypeOfLeadArtist Context triple: [Positions (remixes), vocalTypeOfLeadArtist, soprano]
-
A.
hasMusicalVocalType
chosen
Indicates that an entity is associated with a specific type or classification of singing voice.
-
B.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
C.
vocalistIn
Indicates that a person serves as a vocalist (singer) in a particular musical group, band, or ensemble.
-
D.
vocalCounterpartType
Indicates the type or category of a vocal counterpart relationship that one entity has to another (e.g., spoken, sung, dubbed, narrated).
-
E.
vocalGender
Indicates the perceived or assigned gender associated with an entity’s voice in a vocal performance or recording.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603e7c6ec8190afd0f94ebeb1c130 |
completed | May 2, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 8:31 a.m.