Triple
T3139264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Is... |
E65603
|
entity |
| Predicate | musicalEnsembleType |
P24652
|
FINISHED |
| Object | male–female vocal duet |
—
|
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: male–female vocal duet | Statement: [Love Is..., musicalEnsembleType, male–female vocal duet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalEnsembleType Context triple: [Love Is..., musicalEnsembleType, male–female vocal duet]
-
A.
typeOfEnsemble
chosen
Indicates the specific kind or category of ensemble that an entity belongs to or represents.
-
B.
usesMusicEnsemble
Indicates that one entity employs or incorporates a particular music ensemble in carrying out an action, function, or production.
-
C.
notableEnsemble
Indicates that an entity is a prominent or significant member of a particular group, band, or ensemble.
-
D.
hasOrchestraType
Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
-
E.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada575bbac81909b1b95126f488809 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.