Triple
T18614347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thrill of It All |
E454977
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Baby, You Make Me Crazy |
—
|
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: Baby, You Make Me Crazy | Statement: [The Thrill of It All, hasSingle, Baby, You Make Me Crazy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby, You Make Me Crazy Context triple: [The Thrill of It All, hasSingle, Baby, You Make Me Crazy]
-
A.
Baby, You Make Me Crazy
chosen
"Baby, You Make Me Crazy" is a soulful pop ballad by Sam Smith featured on his album *The Thrill of It All*.
-
B.
Driving Me Crazy
"Driving Me Crazy" is a song featured on the album "Testify."
-
C.
Ms. Drive Me Crazy
Ms. Drive Me Crazy is an episode of the long-running Canadian family drama television series Heartland.
-
D.
Shoo-Shoo Baby
"Shoo-Shoo Baby" is a popular World War II–era swing song recorded by The Andrews Sisters that became one of their well-known hits.
-
E.
Baby It's You
"Baby It's You" is a 1983 coming-of-age romantic drama film directed by John Sayles about a mismatched high school couple in 1960s New Jersey.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d03feb88190bbd8889273d82f7f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.