Triple
T4421251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario |
E95100
|
entity |
| Predicate | performerOf |
P1363
|
FINISHED |
| Object | Let Me Love You |
E437583
|
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: Let Me Love You | Statement: [Mario, performerOf, Let Me Love You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Me Love You Context triple: [Mario, performerOf, Let Me Love You]
-
A.
Let Me Love You
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
B.
Let Me Love You
chosen
"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.
-
C.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
D.
Do You Love Me
"Do You Love Me" is a 1962 Motown hit song, originally recorded by The Contours, that became famous for its energetic vocals and dance-oriented rhythm.
-
E.
If You Love Me (Let Me Know)
"If You Love Me (Let Me Know)" is a 1974 country-pop hit single by Olivia Newton-John that became one of her early signature songs and a major chart success.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35521e020819099e72b9e2ccbd36d |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613664c548190b5cd0c2667baecc7 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:30 p.m.