Triple
T13747900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathless |
E330264
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | In the Rain |
E344624
|
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: In the Rain | Statement: [Breathless, hasTrack, In the Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In the Rain Context triple: [Breathless, hasTrack, In the Rain]
-
A.
In the Rain
chosen
"In the Rain" is a song best known as a soulful 1971 hit by the American R&B group The Dramatics, featuring lush production and emotive vocals.
-
B.
The Rain
The Rain was an early Manchester band that eventually evolved into the globally successful rock group Oasis, featuring Noel Gallagher.
-
C.
The Rain
"The Rain" is a reflective nature poem by W. H. Davies that contrasts the soothing beauty of rainfall with underlying social inequality.
-
D.
Let the Rain
"Let the Rain" is a pop song by Sara Bareilles from her album "Kaleidoscope Heart."
-
E.
Listening to the Rain
"Listening to the Rain" is a bluegrass song by The Osborne Brothers, known for its evocative lyrics and close harmony vocals that became a staple of their repertoire.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a854098c8190983d142c9930962b |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.