Triple
T20076884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Stock (soundtrack) |
E499890
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Get 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: Get Happy | Statement: [Summer Stock (soundtrack), featuresSong, Get Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Happy Context triple: [Summer Stock (soundtrack), featuresSong, Get Happy]
-
A.
Get Happy
chosen
"Get Happy" is a classic upbeat song closely associated with Judy Garland, celebrated for its joyful gospel-inflected style and iconic performance in the film "Summer Stock."
-
B.
Getting to Happy
Getting to Happy is a 2010 novel by Terry McMillan that revisits the lives of the four friends from Waiting to Exhale as they navigate middle age, love, loss, and personal renewal.
-
C.
Be Happy
"Be Happy" is a song featured on the album *My Life*, likely contributing an uplifting or optimistic theme to the record.
-
D.
Open Happiness
Open Happiness is a global Coca-Cola advertising slogan that invites consumers to associate drinking the beverage with joy, optimism, and positive emotional experiences.
-
E.
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.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643bcfd48190893abd3734f15cd3 |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.