Triple
T7927205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Thang |
E184095
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Why I Love You So Much |
E700298
|
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: Why I Love You So Much | Statement: [Miss Thang, hasPart, Why I Love You So Much]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Why I Love You So Much Context triple: [Miss Thang, hasPart, Why I Love You So Much]
-
A.
Why I Love You So Much
chosen
"Why I Love You So Much" is a romantic R&B ballad by American singer Monica from her 1995 debut album "Miss Thang."
-
B.
Why I Love You
"Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
-
C.
So Much Love
"So Much Love" is a soul song written by Gerry Goffin (with Carole King) that has been widely covered by artists such as Ben E. King and Dusty Springfield.
-
D.
So Much in Love
"So Much in Love" is a romantic R&B song best known as a hit single by the British boy band Take That.
-
E.
If You Really Love Me
"If You Really Love Me" is a pop ballad written by Michael Masser, best known as a soulful love song recorded by Stevie Wonder.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aafdb5c8190b7f2ce5349305f78 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe011ccec8190ab60d18b761666af |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:07 p.m.