Triple
T19111090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefani Germanotta |
E467789
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rain on Me |
—
|
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: Rain on Me | Statement: [Stefani Germanotta, notableWork, Rain on Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rain on Me Context triple: [Stefani Germanotta, notableWork, Rain on Me]
-
A.
Rain on Me
chosen
"Rain on Me" is a 2020 dance-pop collaboration between Lady Gaga and Ariana Grande that became a major hit and won the Grammy Award for Best Pop Duo/Group Performance.
-
B.
Have One on Me
Have One on Me is an expansive, critically acclaimed 2010 triple album by American singer-songwriter and harpist Joanna Newsom, noted for its intricate compositions and poetic lyrics.
-
C.
All On Me
"All On Me" is a song featured on the album "Balance."
-
D.
Nothing on Me
"Nothing on Me" is a blues-influenced rock song by Keith Richards from his solo album "Crosseyed Heart."
-
E.
Despacito
"Despacito" is a globally popular reggaeton-pop song by Luis Fonsi featuring Daddy Yankee that became one of the most streamed and viewed tracks in music history.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e393bafc81908e35a0eba7b807a6 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:04 p.m.