Triple
T21093014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brand Nubian |
E519681
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Love Me or Leave Me Alone |
—
|
NE NERFINISHED |
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 Alone | Statement: [Brand Nubian, notableSong, Love Me or Leave Me Alone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Me or Leave Me Alone Context triple: [Brand Nubian, notableSong, Love Me or Leave Me Alone]
-
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.
Leave Me Alone
"Leave Me Alone" is a track by American rapper Snoop Dogg from his 2000 studio album "Tha Last Meal."
-
C.
Love Me No More
Love Me No More is a French drama film directed by Jean Becker, adapted from François d’Epenoux’s novel and centered on a man who abruptly abandons his seemingly perfect life.
-
D.
If You Love Me Let Me Go
"If You Love Me Let Me Go" is a pop song by American singer Colbie Caillat from her album "Gypsy Heart."
-
E.
Love Me Anyway
"Love Me Anyway" is a heartfelt pop ballad by P!nk featuring Chris Stapleton that explores unconditional love despite flaws and mistakes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e70950a31c8190bde2d7b414c362c7 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:51 p.m.