Triple
T9058533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crush |
E217063
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Thank You for Loving Me |
E774751
|
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: Thank You for Loving Me | Statement: [Crush, hasTrack, Thank You for Loving Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thank You for Loving Me Context triple: [Crush, hasTrack, Thank You for Loving Me]
-
A.
Thank You for Loving Me
chosen
"Thank You for Loving Me" is a song by South Korean singer Crush, known for its smooth R&B style and emotive vocal delivery.
-
B.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
C.
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.
-
D.
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.
-
E.
For the Love of You
"For the Love of You" is a smooth, romantic soul ballad by The Isley Brothers that has become one of their most enduring and frequently covered classics.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0178be518819080bd6c8cf0a737e8 |
completed | April 3, 2026, 7:39 p.m. |
Created at: March 30, 2026, 7:10 p.m.