Triple
T20155033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Waters |
E491537
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rush |
—
|
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: Rush | Statement: [John Waters, notableWork, Rush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rush Context triple: [John Waters, notableWork, Rush]
-
A.
Rush
"Rush" is a 1994 funk-influenced dance track by British band Freak Power, known for its blend of acid jazz, soul, and upbeat club-friendly grooves.
-
B.
Rush
chosen
"Rush" is a 1991 American crime drama film about two undercover narcotics officers who become entangled in drug addiction and moral corruption while trying to bring down a major dealer.
-
C.
Rush
Rush is a small coastal town in County Dublin, Ireland, known for its beaches, market gardening, and proximity to Dublin city.
-
D.
Rush
Rush is a giant swing-style thrill ride at Thorpe Park in the UK, known for its high-speed pendulum motion and significant airtime.
-
E.
Rush
Rush is Mega Man’s robotic canine companion, known for transforming into various support forms like a jet or coil to aid him in his missions.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.