Triple
T2391957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dani Ardor |
E48962
|
entity |
| Predicate | clothingSymbolism |
P38168
|
FINISHED |
| Object | wears a white dress and flower crown as May Queen |
—
|
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: wears a white dress and flower crown as May Queen | Statement: [Dani Ardor, clothingSymbolism, wears a white dress and flower crown as May Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clothingSymbolism Context triple: [Dani Ardor, clothingSymbolism, wears a white dress and flower crown as May Queen]
-
A.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
-
B.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
C.
nationalDress
Indicates that an item of clothing is recognized as the traditional or customary dress associated with a particular nation or culture.
-
D.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
E.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
- F. None of above. chosen
Provenance (4 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87587708190a7f2bc473a898bc2 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.