Triple
T22432505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One of a Kind |
E554531
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Gradually Going Tornado |
—
|
NE NERFINISHED |
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: Gradually Going Tornado | Statement: [One of a Kind, followedBy, Gradually Going Tornado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gradually Going Tornado Context triple: [One of a Kind, followedBy, Gradually Going Tornado]
-
A.
Gradually Going Tornado
chosen
Gradually Going Tornado is a 1980 jazz-fusion and progressive rock album by drummer Bill Bruford, noted for its complex rhythms and experimental compositions.
-
B.
Tornado F3
The Tornado F3 is a British twin-engine, two-seat air defense variant of the Panavia Tornado fighter aircraft, designed primarily for long-range interception missions.
-
C.
Tornado
Tornado is Zorro’s iconic black horse, known as his swift and loyal steed in the Zorro stories.
-
D.
Tornado
Tornado is a steel inverted roller coaster located at Parque de Atracciones de Madrid in Spain.
-
E.
Tornado
Tornado is a high-thrill water slide attraction featuring steep drops and a large funnel element, located at the Wet'n'Wild Gold Coast water park in Australia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.