Triple
T12332945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freedom |
E294007
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Against the Grain |
E503801
|
NE FINISHED |
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: [Freedom, hasTrack, Against the Grain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Against the Grain Context triple: [Freedom, hasTrack, 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.
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.
-
C.
The Harvest
The Harvest is an Impressionist painting by Camille Pissarro depicting rural agricultural laborers working in the fields.
-
D.
The Harvest
The Harvest is a landscape painting by French Barbizon school artist Charles-François Daubigny, depicting rural agricultural life with his characteristic naturalistic light and atmosphere.
-
E.
The Harvest
The Harvest is a 1992 American thriller film directed by David Marconi, known for its dark, suspenseful plot involving organ trafficking.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa12f108190851c6958eb35ee5b |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.