Triple
T3193478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Best Male Pop Vocal Performance |
E66879
|
entity |
| Predicate | languageOfEligibleRecordings |
P26614
|
FINISHED |
| Object | any language |
—
|
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: any language | Statement: [Grammy Award for Best Male Pop Vocal Performance, languageOfEligibleRecordings, any language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfEligibleRecordings Context triple: [Grammy Award for Best Male Pop Vocal Performance, languageOfEligibleRecordings, any language]
-
A.
languageOfRecords
Indicates the language in which the records are written or maintained.
-
B.
isScheduledLanguageOf
Indicates that a particular language is officially planned or designated to be used for a specific event, program, or context.
-
C.
languageOfMusic
chosen
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
-
D.
languageOfCoverage
Indicates the language in which the coverage, such as reporting or documentation about something, is expressed.
-
E.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada713bf0c81908f3143f45f63a5ad |
completed | March 8, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.