Triple
T38347627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anarkali suit |
E1041585
|
entity |
| Predicate | styleEraPopularity |
P176566
|
FINISHED |
| Object | 21st century South Asian fashion |
—
|
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: 21st century South Asian fashion | Statement: [Anarkali suit, styleEraPopularity, 21st century South Asian fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleEraPopularity Context triple: [Anarkali suit, styleEraPopularity, 21st century South Asian fashion]
-
A.
isPopularInEra
chosen
Indicates that an entity enjoys widespread recognition, approval, or influence during a specific historical or cultural time period.
-
B.
stylePeriod
Indicates the stylistic or historical period with which an entity (such as an artwork, artifact, or performance) is associated.
-
C.
styleComparedToAttitudeEra
Indicates how an entity’s style compares or relates to the characteristic style of the Attitude Era.
-
D.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
E.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.