Triple
T9939340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jule Styne |
E194037
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Make Someone Happy |
E493055
|
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: Make Someone Happy | Statement: [Jule Styne, notableSong, Make Someone Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Someone Happy Context triple: [Jule Styne, notableSong, Make Someone Happy]
-
A.
Make Someone Happy
chosen
"Make Someone Happy" is a jazz album by Russian-Canadian vocalist Sophie Milman, showcasing her interpretations of classic standards.
-
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.
Make You Happy
"Make You Happy" is a song featured on Céline Dion’s 1996 album *Falling into You*.
-
D.
Put On a Happy Face
"Put On a Happy Face" is a popular show tune from the 1960 Broadway musical Bye Bye Birdie, known for its upbeat melody and optimistic lyrics.
-
E.
Make Me Smile
"Make Me Smile" is a 1970 rock song by the band Chicago, known for its brass-driven arrangement and as the opening movement of their multi-part suite "Ballet for a Girl in Buchannon."
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e819e08190967b799fd236749e |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228fdb8e48190808702d48470395a |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.