Triple
T30180850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No, No, Nanette (1971 Broadway revival) |
E767195
|
entity |
| Predicate | inspiredTrend |
P22393
|
FINISHED |
| Object | 1920s nostalgia craze on Broadway |
—
|
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: 1920s nostalgia craze on Broadway | Statement: [No, No, Nanette (1971 Broadway revival), inspiredTrend, 1920s nostalgia craze on Broadway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredTrend Context triple: [No, No, Nanette (1971 Broadway revival), inspiredTrend, 1920s nostalgia craze on Broadway]
-
A.
influencedFashionTrend
Indicates that one entity caused or contributed to a change or direction in another entity’s fashion style or prevailing clothing trends.
-
B.
inspiredTrope
Indicates that one trope serves as the creative or conceptual inspiration for another trope.
-
C.
trendy
Indicates that something is currently fashionable, popular, or in line with prevailing styles or tastes.
-
D.
designTrend
chosen
Indicates a prevailing or emerging stylistic direction or pattern that influences how something is designed over a period of time.
-
E.
trends
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 29, 2026, 7:26 p.m.