Triple
T12485484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Best Global Music Performance |
E298420
|
entity |
| Predicate | awardedForMarket |
P105247
|
FINISHED |
| Object | global market |
—
|
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: global market | Statement: [Grammy Award for Best Global Music Performance, awardedForMarket, global market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForMarket Context triple: [Grammy Award for Best Global Music Performance, awardedForMarket, global market]
-
A.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
B.
awardedStatus
Indicates that a particular status, honor, or designation has been formally granted to an entity.
-
C.
awardedForToReceive
Indicates that an entity is granted an award or recognition in order to receive it for a specific reason, achievement, or qualifying basis.
-
D.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e87e0e88190bc49dcfe4954c7e0 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.