Triple
T1115177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Dance/Electronic Music Album |
E11082
|
entity |
| Predicate | hasAwardPeriod |
P24525
|
FINISHED |
| Object | eligibility year preceding the ceremony |
—
|
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: eligibility year preceding the ceremony | Statement: [Best Dance/Electronic Music Album, hasAwardPeriod, eligibility year preceding the ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardPeriod Context triple: [Best Dance/Electronic Music Album, hasAwardPeriod, eligibility year preceding the ceremony]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
C.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
D.
hasSubsequentAward
Indicates that an entity has received an additional award that follows a previous award in time or sequence.
-
E.
hasAwardLevel
Indicates that an entity possesses or has been assigned a specific level, tier, or rank within an award or recognition system.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:43 p.m.