Triple
T9326359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheek to Cheek ballroom dance |
E224394
|
entity |
| Predicate | typicalUseToday |
P34114
|
FINISHED |
| Object | ballroom showcases |
—
|
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: ballroom showcases | Statement: [Cheek to Cheek ballroom dance, typicalUseToday, ballroom showcases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUseToday Context triple: [Cheek to Cheek ballroom dance, typicalUseToday, ballroom showcases]
-
A.
usageToday
Indicates the current or most recent use or application of something on the present day.
-
B.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
C.
usageAmong
Indicates how frequently or in what manner something is used within a particular group, context, or population.
-
D.
contemporaryUse
chosen
Indicates that something is currently used or practiced in the present time or modern context.
-
E.
hasDailyUse
Indicates that something is used or occurs on a daily, regular basis.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f88e988190bb896a3d7c3c723c |
completed | April 1, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:39 p.m.