Triple
T7289588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Side to Side |
E163956
|
entity |
| Predicate | hasBicycleGymThemeInVideo |
P15286
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Side to Side, hasBicycleGymThemeInVideo, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBicycleGymThemeInVideo Context triple: [Side to Side, hasBicycleGymThemeInVideo, true]
-
A.
musicVideoTheme
chosen
Indicates the thematic concept or subject matter that a music video is centered around or expresses.
-
B.
notableSafetyVideoTheme
Indicates that a safety video is prominently associated with, or best known for, a particular central theme or subject.
-
C.
bicycleUse
Indicates that an entity makes use of a bicycle for transportation, activity, or other purposes.
-
D.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
E.
hasRideCycle
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.