Triple
T25342279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brayden |
E635446
|
entity |
| Predicate | timePeriodOfRiseInPopularity |
P158462
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Brayden, timePeriodOfRiseInPopularity, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfRiseInPopularity Context triple: [Brayden, timePeriodOfRiseInPopularity, late 20th century]
-
A.
notablePopularityPeriod
Indicates the time span during which something was especially popular or widely recognized.
-
B.
achievedPopularityIn
Indicates that an entity became popular or widely recognized within a specified place, group, or context.
-
C.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
-
D.
decadeOfPopularization
Indicates the decade during which something became widely known, used, or popular.
-
E.
popularizedAfter
Indicates that one entity became widely known, accepted, or influential only after another specified entity had already gained popularity.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f498b818008190a4240a7a2cbeedfd |
completed | May 1, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:32 p.m.