Triple
T22164970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vol. 4 |
E547766
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Snowblind |
—
|
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: Snowblind | Statement: [Vol. 4, notableTrack, Snowblind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowblind Context triple: [Vol. 4, notableTrack, Snowblind]
-
A.
Snowblind
"Snowblind" is a song featured on Robbie Williams' album "Swings Both Ways," showcasing his swing-influenced pop style.
-
B.
Snowblind
chosen
"Snowblind" is a heavy, riff-driven song by Black Sabbath, widely recognized as one of the standout tracks from their influential early-1970s era.
-
C.
Sandblind
Sandblind is a novel by British author Julian Rathbone, known for its blend of political intrigue and literary thriller elements.
-
D.
Whiteout
Whiteout is a 2009 crime thriller film set in Antarctica, based on the graphic novel of the same name, in which Gabriel Macht co-stars alongside Kate Beckinsale.
-
E.
The Sunblind
"The Sunblind" is a Cubist painting by Spanish artist Juan Gris, exemplifying his distinctive use of geometric forms and luminous color.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a309d8081908f4540fe2da63010 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.