Triple
T24297933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallrat |
E606014
|
entity |
| Predicate | performsVocalType |
P135747
|
FINISHED |
| Object | lead vocals |
—
|
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: lead vocals | Statement: [Mallrat, performsVocalType, lead vocals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsVocalType Context triple: [Mallrat, performsVocalType, lead vocals]
-
A.
hasMusicalVocalType
chosen
Indicates that an entity is associated with a specific type or classification of singing voice.
-
B.
hasVocalPerformanceBy
Indicates that a vocal performance in a work or recording is performed by a specified person or group.
-
C.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
D.
vocalHarmonyType
Indicates the specific kind or style of vocal harmony relationship that exists between the involved vocal parts or voices.
-
E.
vocalCounterpartType
Indicates the type or category of a vocal counterpart relationship that one entity has to another (e.g., spoken, sung, dubbed, narrated).
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915c520081908055941209f35da5 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.