Triple
T30445156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Times Are Racing |
E774556
|
entity |
| Predicate | usesCostumeStyle |
P187049
|
FINISHED |
| Object | streetwear |
—
|
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: streetwear | Statement: [The Times Are Racing, usesCostumeStyle, streetwear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCostumeStyle Context triple: [The Times Are Racing, usesCostumeStyle, streetwear]
-
A.
haveDistinctCostume
Indicates that the entities each possess a costume that is different from the others’ costumes.
-
B.
usesCostumeDesignBasedOn
Indicates that one entity employs or incorporates the costume design concepts, styles, or elements derived from another entity as a basis for its own costume design.
-
C.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
D.
colorAssociatedWithCostume
Indicates that a particular color is thematically or typically linked to a specific costume.
-
E.
isCostumedCharacterFor
Indicates that one entity serves as a costumed character representation or mascot for another entity, typically for promotional or entertainment purposes.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: April 29, 2026, 8:08 p.m.