Triple
T4962803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Green |
E111448
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | I'm Still in Love with You |
E483441
|
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: I'm Still in Love with You | Statement: [Al Green, notableAlbum, I'm Still in Love with You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm Still in Love with You Context triple: [Al Green, notableAlbum, I'm Still in Love with You]
-
A.
I'm Still in Love with You
chosen
"I'm Still in Love with You" is a classic 1972 soul album by Al Green, renowned for its smooth production, romantic themes, and enduring influence on R&B music.
-
B.
Still in Love
"Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
-
C.
Staying In Love
"Staying In Love" is a song featured on the 2009 studio album *The Way I See It* by American soul singer Raphael Saadiq.
-
D.
I Love You
"I Love You" is an R&B ballad by American singer Faith Evans that became one of her signature hits in the early 2000s.
-
E.
I Stay in Love
"I Stay in Love" is a pop and R&B ballad by Mariah Carey, released as a single from her album E=MC².
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f3e6148190b99f35734220ffc3 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89fa42a081909055b6c30505e6b2 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:32 p.m.