Triple
T8417573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Out game |
E198764
|
entity |
| Predicate | fanDressCode |
P2738
|
FINISHED |
| Object | all white clothing |
—
|
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: all white clothing | Statement: [White Out game, fanDressCode, all white clothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanDressCode Context triple: [White Out game, fanDressCode, all white clothing]
-
A.
hasDressCode
chosen
Indicates that a specified entity enforces or is associated with a particular set of rules governing appropriate clothing or attire.
-
B.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
C.
usualAttire
Indicates the type of clothing an entity typically wears in ordinary or characteristic situations.
-
D.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
E.
costume
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a costume.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c66b5c8190b9515f55dc08ac03 |
completed | March 31, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.