Triple
T17546234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Bloody Valentine |
E427329
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Ride |
—
|
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: Ride | Statement: [My Bloody Valentine, influenced, Ride]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ride Context triple: [My Bloody Valentine, influenced, Ride]
-
A.
Ride
chosen
Ride is an English alternative rock band, best known as one of the pioneering groups of the early 1990s shoegaze movement.
-
B.
Ride
"Ride" is an R&B song produced by Tricky Stewart, best known for its sultry, slow-burning style and chart success.
-
C.
Ride
Ride is a 2014 comedy-drama film directed by and starring Helen Hunt, following a New York editor who travels to California to reconnect with her surfing-obsessed son.
-
D.
Ride
Ride is a track from the album "Raise Vibration" by Lenny Kravitz, showcasing his blend of rock, soul, and introspective lyricism.
-
E.
Ride
Ride is a film featuring Australian actor Brenton Thwaites in a prominent role.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45461643881909b106bafb89253b3 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.