Triple
T17461102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemonade |
E425151
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | B4 the Storm |
—
|
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: B4 the Storm | Statement: [Lemonade, album, B4 the Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B4 the Storm Context triple: [Lemonade, album, B4 the Storm]
-
A.
B4 the Storm
chosen
B4 the Storm is a collaborative compilation album by producer collective Internet Money featuring various prominent hip-hop and trap artists.
-
B.
This Storm
"This Storm" is a dark, intricately plotted historical crime novel by James Ellroy set in World War II–era Los Angeles, blending noir fiction with political conspiracy and social unrest.
-
C.
Into the Storm
"Into the Storm" is a 2014 found-footage-style disaster film that follows a group of high school students and storm chasers documenting an unprecedented onslaught of tornadoes in a small American town.
-
D.
Into the Storm
"Into the Storm" is a notable work by Russian writer Daniil Granin, known for its exploration of moral and social issues in Soviet society.
-
E.
Into the Storm
"Into the Storm" is a multi-part song segment by the progressive rock band Yes, featured within their extended suite "Fly from Here."
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3c4cc8190937808e3272272c0 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.