Triple
T26417015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swish Swish |
E664122
|
entity |
| Predicate | hasBasketballTheme |
P167090
|
FINISHED |
| Object | music video |
—
|
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: music video | Statement: [Swish Swish, hasBasketballTheme, music video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasketballTheme Context triple: [Swish Swish, hasBasketballTheme, music video]
-
A.
usesBasketball
Indicates that one entity makes use of or engages with basketball, typically as equipment or in the context of playing the sport.
-
B.
hasBasketballLevel
Indicates that an entity possesses a specified level of skill, proficiency, or ranking in basketball.
-
C.
isFromBasketballFamily
Indicates that an individual comes from a family with a strong involvement or background in basketball.
-
D.
playedBasketballFor
Indicates that one entity was a member of and competed for another entity’s basketball team.
-
E.
usesStandardBasketballCourt
Indicates that the subject conducts its basketball-related activities on a regulation-size, standard-layout basketball court.
- 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 26, 2026, 11:41 p.m.