Triple
T36088940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cake and Sodomy |
E1043857
|
entity |
| Predicate | usedVocalStyle |
P108283
|
FINISHED |
| Object | spoken-word passages |
—
|
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: spoken-word passages | Statement: [Cake and Sodomy, usedVocalStyle, spoken-word passages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedVocalStyle Context triple: [Cake and Sodomy, usedVocalStyle, spoken-word passages]
-
A.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
B.
artisticVocalStyle
chosen
Indicates a relationship where an entity’s vocal performance is characterized by a particular artistic style or expressive manner of singing or speaking.
-
C.
hasHookVocalStyle
Indicates that an entity (typically a musical work or performance) features a distinctive, catchy vocal delivery or refrain intended to serve as a memorable hook.
-
D.
introducedVocalStyleOf
Indicates that one entity initiated or brought into use the vocal style characteristic of another entity.
-
E.
usesVocalSamples
Indicates that one entity incorporates recorded vocal sounds from another source into its own audio or musical production.
- 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_69f76e32d60c8190ba781ffaaab4aa3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.