Triple
T17546233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Bloody Valentine |
E427329
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Slowdive |
—
|
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: Slowdive | Statement: [My Bloody Valentine, influenced, Slowdive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slowdive Context triple: [My Bloody Valentine, influenced, Slowdive]
-
A.
Slowdive
chosen
Slowdive is an English shoegaze band, formed in the late 1980s, known for its ethereal soundscapes, lush guitar textures, and influential albums like "Souvlaki."
-
B.
Midlake
Midlake is an American indie rock band known for its lush, folk-influenced sound and atmospheric, 1970s-inspired arrangements.
-
C.
The Twilight Sad
The Twilight Sad is a Scottish indie rock band known for its dark, atmospheric sound and emotionally intense lyrics.
-
D.
Sunz of Man
Sunz of Man is a Wu-Tang Clan-affiliated hip hop group known for its gritty, spiritual, and socially conscious lyricism.
-
E.
Sunset Division
Sunset Division is the nickname of the U.S. Army's 41st Infantry Division, a National Guard formation that saw significant combat in the Pacific Theater during World War II.
- 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.