Triple
T16937923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella Henderson |
E410875
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Let Me Love You (Live) |
E747742
|
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 (Live) | Statement: [Ella Henderson, notableWork, Let Me Love You (Live)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Me Love You (Live) Context triple: [Ella Henderson, notableWork, Let Me Love You (Live)]
-
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
"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.
Let Me Love You
"Let Me Love You" is a mid-tempo R&B-influenced pop song by Ariana Grande featuring rapper Lil Wayne from her album *Dangerous Woman*.
-
D.
Let Me Love You
chosen
"Let Me Love You" is a 2016 EDM-pop song by DJ Snake featuring Justin Bieber that became a global hit for its catchy melody and emotional lyrics.
-
E.
Let Me Love, Let Me Live
"Let Me Love, Let Me Live" is a song by the Greek rock band Aphrodite's Child, featured on their 1969 album "It's Five O'Clock."
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2b88bc8190aeb7b07032478ae3 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfe5210c8190873be6ccf2369b34 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.