Triple
T29039644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Short Loves Cole Porter |
E737959
|
entity |
| Predicate | vocalStyleOfPerformer |
P108283
|
FINISHED |
| Object | cabaret singing |
—
|
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: cabaret singing | Statement: [Bobby Short Loves Cole Porter, vocalStyleOfPerformer, cabaret singing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalStyleOfPerformer Context triple: [Bobby Short Loves Cole Porter, vocalStyleOfPerformer, cabaret singing]
-
A.
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.
-
B.
introducedVocalStyleOf
Indicates that one entity initiated or brought into use the vocal style characteristic of another entity.
-
C.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
D.
hasMusicalVocalType
Indicates that an entity is associated with a specific type or classification of singing voice.
-
E.
vocalConfiguration
Indicates how an entity’s vocal or sound-producing characteristics are arranged or specified in relation to another entity or context.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 28, 2026, 10:01 a.m.