Triple
T22912780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candlebox |
E568648
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Happy Pills |
—
|
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: Happy Pills | Statement: [Candlebox, notableAlbum, Happy Pills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Pills Context triple: [Candlebox, notableAlbum, Happy Pills]
-
A.
Happy Pills
"Happy Pills" is a song by Norah Jones from her album "Little Broken Hearts," blending upbeat melodies with lyrics about breaking free from a toxic relationship.
-
B.
Happy Pills
chosen
"Happy Pills" is a 1998 alternative rock album by the American band Candlebox, known for its post-grunge sound and melodic hooks.
-
C.
Purple Pills
"Purple Pills" is a popular 2001 hip hop single by the Detroit rap group D12, known for its humorous, drug-themed lyrics and heavily censored radio version titled "Purple Hills."
-
D.
Miracle Pill
Miracle Pill is a 2019 studio album by American rock band Goo Goo Dolls that blends their signature melodic rock with contemporary pop influences.
-
E.
Piller
Piller is a surname most notably associated with Michael Piller, a prominent American television writer and producer known for his influential work on the Star Trek franchise.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18075a0048190bd150e2badeeb7c2 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.