Triple
T10031866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Whiting and Johnny Mercer version |
E204870
|
entity |
| Predicate | vocalRoleOfMargaretWhiting |
P24740
|
FINISHED |
| Object | the "mouse" (female part) |
—
|
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: the "mouse" (female part) | Statement: [Margaret Whiting and Johnny Mercer version, vocalRoleOfMargaretWhiting, the "mouse" (female part)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalRoleOfMargaretWhiting Context triple: [Margaret Whiting and Johnny Mercer version, vocalRoleOfMargaretWhiting, the "mouse" (female part)]
-
A.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
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.
hasVocalPartInMovement
Indicates that a vocal part is present and participates in a specific movement of a larger musical work.
-
E.
performerRole_Denny Laine
Indicates that the entity participated as a performer specifically in the role associated with Denny Laine (e.g., performing parts or functions attributed to Denny Laine).
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce461d6481908cc8f968856e0337 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.