Triple
T26417927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EDM |
E664148
|
entity |
| Predicate | gainedMainstreamPopularityInDecade |
P21730
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [EDM, gainedMainstreamPopularityInDecade, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedMainstreamPopularityInDecade Context triple: [EDM, gainedMainstreamPopularityInDecade, 2010s]
-
A.
wasMostPopularInDecade
Indicates that something held the highest level of popularity among comparable items during a specified decade.
-
B.
decadeOfPopularization
chosen
Indicates the decade during which something became widely known, used, or popular.
-
C.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
D.
contributedToPopularityInDecade
Indicates that something played a role in increasing the popularity of another thing during a specific decade.
-
E.
achievedPopularityIn
Indicates that an entity became popular or widely recognized within a specified place, group, 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61138a81c81908dbb9ad45436b3c1 |
completed | May 2, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:41 p.m.