Triple
T18145631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Bedlam |
E434380
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Tears and Rain |
—
|
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: Tears and Rain | Statement: [Back to Bedlam, includesSong, Tears and Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tears and Rain Context triple: [Back to Bedlam, includesSong, Tears and Rain]
-
A.
Tears and Rain
chosen
"Tears and Rain" is a song by James Blunt from his debut album *Back to Bedlam*, known for its melancholic lyrics and soft rock style.
-
B.
Rain and Tears
"Rain and Tears" is a 1968 baroque pop ballad by Greek band Aphrodite's Child, noted for its melancholic melody and prominent use of organ.
-
C.
Through the Rain
"Through the Rain" is a 2002 inspirational pop and R&B ballad by Mariah Carey about resilience and overcoming adversity.
-
D.
Let the Rain
"Let the Rain" is a pop song by Sara Bareilles from her album "Kaleidoscope Heart."
-
E.
The Rain
"The Rain" is a reflective nature poem by W. H. Davies that contrasts the soothing beauty of rainfall with underlying social inequality.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de33921c8190b6f645ca63fd146b |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.