Triple
T13644521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alien Swirling Saucers |
E326067
|
entity |
| Predicate | rideVehicleTheme |
P107757
|
FINISHED |
| Object | toy rocket ship |
—
|
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: toy rocket ship | Statement: [Alien Swirling Saucers, rideVehicleTheme, toy rocket ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rideVehicleTheme Context triple: [Alien Swirling Saucers, rideVehicleTheme, toy rocket ship]
-
A.
vehicleTheme
chosen
Indicates that an entity serves as the vehicle or means through which another entity, event, or action is carried out or expressed.
-
B.
rideModel
Indicates that one entity is a specific model or type designation of a ride associated with another entity.
-
C.
cycleTheme
Indicates a recurring subject, motif, or pattern that repeatedly appears or is developed across parts of a work, process, or sequence.
-
D.
drivesTheme
Indicates that one element is the primary motivating force or underlying cause that shapes, propels, or organizes a particular theme.
-
E.
ridingSpecialty
Indicates that one entity has a particular area of expertise or focus related to riding (e.g., a specific riding style, discipline, or type).
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.