Triple
T20520736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Control |
E503800
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Against the Grain |
—
|
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: Against the Grain | Statement: [No Control, followedBy, Against the Grain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Against the Grain Context triple: [No Control, followedBy, Against the Grain]
-
A.
Against the Grain
chosen
Against the Grain is a 1990 punk rock album by Bad Religion known for its fast tempos, melodic harmonies, and socially conscious lyrics.
-
B.
Against the Grain
Against the Grain is a studio album by West Coast rapper Kurupt, known for its return to his gangsta rap roots and its turbulent release history tied to Death Row Records.
-
C.
The Fat of the Land
"The Fat of the Land" is a humorous short story by P. G. Wodehouse set around the Drones Club and its eccentric members.
-
D.
The Feast and the Famine
"The Feast and the Famine" is a song by American rock band Foo Fighters, featured on their 2014 album *Sonic Highways* and inspired by the music scene of Washington, D.C.
-
E.
The Harvest
The Harvest is an Impressionist painting by Camille Pissarro depicting rural agricultural laborers working in the fields.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4587c481908544f89572d164b0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.