Triple
T20374556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let the Bad Times Roll |
E497656
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Coming for You |
—
|
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: Coming for You | Statement: [Let the Bad Times Roll, hasSingle, Coming for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coming for You Context triple: [Let the Bad Times Roll, hasSingle, Coming for You]
-
A.
Coming for You
chosen
"Coming for You" is a punk rock song by The Offspring, released as a single ahead of their album "Let the Bad Times Roll."
-
B.
Coming at You
Coming at You is a blues album by harmonica legend Junior Wells that showcases his electric Chicago blues style and soulful vocals.
-
C.
There for You
"There for You" is a 2017 electronic dance music single by Dutch DJ and producer Martin Garrix, featuring vocals from Australian singer Troye Sivan.
-
D.
Here for You
"Here for You" is a popular electronic dance track by British production duo Gorgon City, known for its soulful vocals and club-ready house sound.
-
E.
I Come to You
"I Come to You" is a song featured in the 1973 musical film adaptation of "Lost Horizon," contributing to the movie’s romantic and dramatic themes.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678abae8881908d7752f45a82857f |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.