Triple
T38347593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anarkali suit |
E1041585
|
entity |
| Predicate | topStyle |
P94390
|
FINISHED |
| Object | frock-style |
—
|
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: frock-style | Statement: [Anarkali suit, topStyle, frock-style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topStyle Context triple: [Anarkali suit, topStyle, frock-style]
-
A.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
B.
styleFor
chosen
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
C.
titleStyleAdopted
Indicates that a particular style or format for a title has been chosen and put into use for an entity.
-
D.
styleInFull
Indicates that something is presented, written, or expressed in its complete, unabbreviated, or fully detailed form.
-
E.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
- 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.