Triple
T13525153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Very Best of Sheryl Crow |
E322998
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | If It Makes You Happy |
E432799
|
NE FINISHED |
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: If It Makes You Happy | Statement: [The Very Best of Sheryl Crow, hasTrack, If It Makes You Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If It Makes You Happy Context triple: [The Very Best of Sheryl Crow, hasTrack, If It Makes You Happy]
-
A.
If It Makes You Happy
chosen
"If It Makes You Happy" is a 1996 Grammy-winning rock song by Sheryl Crow that became one of her signature hits.
-
B.
Born to Make You Happy
"Born to Make You Happy" is a pop ballad by Britney Spears that became one of her early international hits, particularly in Europe.
-
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.
If You’re Happy and You Know It
"If You’re Happy and You Know It" is a popular children's participation song that encourages listeners to perform actions like clapping their hands to express happiness.
-
E.
Happiness Is
"Happiness Is" was the light-hearted, upbeat musical theme used for the halftime show of Super Bowl VII.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d93a2608190a3a693bf4086a010 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.