Triple
T35074349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Four Square |
E1011969
|
entity |
| Predicate | hasTypicalEraOfPopularity |
P105129
|
FINISHED |
| Object | 1890s |
—
|
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: 1890s | Statement: [American Four Square, hasTypicalEraOfPopularity, 1890s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalEraOfPopularity Context triple: [American Four Square, hasTypicalEraOfPopularity, 1890s]
-
A.
isPopularInEra
Indicates that an entity enjoys widespread recognition, approval, or influence during a specific historical or cultural time period.
-
B.
notablePopularityPeriod
chosen
Indicates the time span during which something was especially popular or widely recognized.
-
C.
achievedPopularityIn
Indicates that an entity became popular or widely recognized within a specified place, group, or context.
-
D.
typicalBirthYearsRange
Indicates the usual span of calendar years during which an entity (such as a person or group) is most commonly born.
-
E.
contributedToPopularityInDecade
Indicates that something played a role in increasing the popularity of another thing during a specific decade.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:01 p.m.