Triple
T8889592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ...Baby One More Time |
E211629
|
entity |
| Predicate | hasMusicVideoFor |
P3287
|
FINISHED |
| Object | Born to Make You Happy |
E764406
|
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: Born to Make You Happy | Statement: [...Baby One More Time, hasMusicVideoFor, Born to Make You Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Born to Make You Happy Context triple: [...Baby One More Time, hasMusicVideoFor, Born to Make You Happy]
-
A.
Born to Make You Happy
chosen
"Born to Make You Happy" is a pop ballad by Britney Spears that became one of her early international hits, particularly in Europe.
-
B.
Make You Happy
"Make You Happy" is a song featured on Céline Dion’s 1996 album *Falling into You*.
-
C.
Make Someone Happy
"Make Someone Happy" is a jazz album by Russian-Canadian vocalist Sophie Milman, showcasing her interpretations of classic standards.
-
D.
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.
-
E.
We’ll Make It
We’ll Make It is a survivor perk in the asymmetric horror game Dead by Daylight that temporarily boosts healing speed after safely rescuing a teammate from a hook.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618f94108190b03248832bfe68a9 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1c9433c81908621e1a2ba8b7bed |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:53 p.m.