Triple
T20520886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recipe for Hate |
E503803
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Recipe for Hate (song) |
—
|
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: Recipe for Hate (song) | Statement: [Recipe for Hate, hasTrack, Recipe for Hate (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recipe for Hate (song) Context triple: [Recipe for Hate, hasTrack, Recipe for Hate (song)]
-
A.
Hate Song
"Hate Song" is a popular track by Swedish metal band The Haunted, known for its aggressive riffs and intense vocal delivery.
-
B.
Recipe for Hate
chosen
Recipe for Hate is a politically charged punk rock album by Bad Religion, known for its melodic hardcore sound and socially conscious lyrics.
-
C.
Clean, Old-Fashioned Hate
Clean, Old-Fashioned Hate is the longstanding, intense college football rivalry between the University of Georgia Bulldogs and the Georgia Tech Yellow Jackets.
-
D.
Some Kind of Hate
Some Kind of Hate is a 2015 supernatural slasher film that blends bullying revenge themes with brutal, paranormal horror.
-
E.
Hater Love
"Hater Love" is a song by the American R&B singer Float.
- 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.