Triple
T12782539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live Wire/Blues Power |
E305541
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Please Love Me |
E146076
|
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: Please Love Me | Statement: [Live Wire/Blues Power, hasTrack, Please Love Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Please Love Me Context triple: [Live Wire/Blues Power, hasTrack, Please Love Me]
-
A.
Please Love Me
chosen
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
B.
Do You Love Me
"Do You Love Me" is a 1962 Motown hit song, originally recorded by The Contours, that became famous for its energetic vocals and dance-oriented rhythm.
-
C.
Do You Love Me
"Do You Love Me" is a popular song recorded by American singer Dick Haymes, known as a romantic pop standard from the mid-20th century.
-
D.
You Love Me
"You Love Me" is a pop song produced by Jesse Shatkin, known for its polished production and emotionally charged, radio-friendly sound.
-
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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5b52048190b279b7ad066efe9f |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68504c95081909dc52cc02e43e8ba |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.