Triple
T5787693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Horne |
E128308
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Love Me or Leave Me |
E491717
|
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: Love Me or Leave Me | Statement: [Lena Horne, notableSong, Love Me or Leave Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Me or Leave Me Context triple: [Lena Horne, notableSong, Love Me or Leave Me]
-
A.
Love Me or Leave Me
chosen
Love Me or Leave Me is a popular song closely associated with American singer Ruth Etting, becoming one of her signature hits in the 1920s.
-
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.
Love Me Now
"Love Me Now" is a pop-R&B song by John Legend known for its uplifting message about cherishing love in the present moment.
-
D.
Let Me Love You
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
E.
Let Me Love You
"Let Me Love You" is a 2004 R&B ballad by American singer Mario that became a major international hit and one of his signature songs.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5297c88190bd28adb2552a26f4 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0981a002c8190ac8ed7407a80919c |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.