Triple
T28291642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasuko |
E713441
|
entity |
| Predicate | namePopularityPeriod |
P105129
|
FINISHED |
| Object | particularly common in Japan in the 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: particularly common in Japan in the 20th century | Statement: [Yasuko, namePopularityPeriod, particularly common in Japan in the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namePopularityPeriod Context triple: [Yasuko, namePopularityPeriod, particularly common in Japan in the 20th century]
-
A.
namePopularityType
Indicates the category or type of popularity associated with a given name (e.g., how or in what way the name is considered popular).
-
B.
nationalPopularity
Indicates the degree to which something is liked, recognized, or supported by people across an entire nation.
-
C.
namePopularityRegion
Indicates the geographic region or area in which a particular name has a certain level of popularity or usage.
-
D.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
-
E.
notablePopularityPeriod
chosen
Indicates the time span during which something was especially popular or widely recognized.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64484910c81908f66d35cfdaa3cc4 |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:29 p.m.