Triple
T15717546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Used to Know Her (compilation album) |
E380998
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Good to Me |
E856489
|
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: Good to Me | Statement: [I Used to Know Her (compilation album), hasTrack, Good to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good to Me Context triple: [I Used to Know Her (compilation album), hasTrack, Good to Me]
-
A.
Good To Me
chosen
"Good To Me" is an R&B song by American singer LeToya Luckett, known for showcasing her smooth vocals and emotive, relationship-focused lyrics.
-
B.
Good for Me
"Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
-
C.
Good to Me As I Am to You
"Good to Me As I Am to You" is a soulful R&B song by Aretha Franklin, featured on her acclaimed 1968 album "Lady Soul."
-
D.
The Good in Me
"The Good in Me" is a song featured on the 2012 album *The Human Condition* by American rapper and producer Jon Bellion.
-
E.
Good to Be Me
"Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7583609c8190a80421fce649900f |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.