Triple
T21928508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Damn Happy |
E541503
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | So Damn Happy |
—
|
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: So Damn Happy | Statement: [So Damn Happy, hasTrack, So Damn Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Damn Happy Context triple: [So Damn Happy, hasTrack, So Damn Happy]
-
A.
So Damn Happy
chosen
So Damn Happy is a live album by American singer-songwriter Loudon Wainwright III, showcasing his witty, autobiographical folk songs and storytelling performances.
-
B.
Hot Damn
Hot Damn is a hip hop song by Clipse known for its gritty production and sharp, boastful lyricism.
-
C.
So Happy
"So Happy" is a rock song by Canadian band Theory of a Deadman, known for its dark, hard-edged sound and themes of toxic relationships.
-
D.
So Damn Cool
"So Damn Cool" is a hard rock song by American band Ugly Kid Joe, known for its catchy riffs and irreverent, humorous lyrics.
-
E.
Too Damn Young
"Too Damn Young" is a country song by Luke Bryan featured on his 2011 album *Tailgates & Tanlines*, reflecting on youthful love and the recklessness of being young.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:46 p.m.