Triple
T22410386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Awards for classical music |
E553979
|
entity |
| Predicate | inceptionWithinGrammys |
P148045
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Grammy Awards for classical music, inceptionWithinGrammys, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionWithinGrammys Context triple: [Grammy Awards for classical music, inceptionWithinGrammys, 1950s]
-
A.
fieldWithinGrammys
Indicates that a specific award field or category is part of, or belongs to, the broader Grammy Awards structure.
-
B.
grammyWins
Indicates that an entity has received one or more Grammy Awards as a winner.
-
C.
grammyNomination
Indicates that an entity has been officially nominated for a Grammy Award in a particular category and year.
-
D.
numberOfGrammyNominations
Indicates the total count of Grammy Award nominations that an entity has received.
-
E.
yearOfGrammyWins
Indicates the specific year or years in which an entity received one or more Grammy Awards.
- F. None of above. chosen
Provenance (4 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15942edb081909869ae013ea72f09 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:46 p.m.