Triple
T4362914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears and Rain |
E98702
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Tears and Rain |
E98702
|
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: Tears and Rain | Statement: [Tears and Rain, hasTitle, Tears and Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tears and Rain Context triple: [Tears and Rain, hasTitle, 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.
Passionate Raindrops
"Passionate Raindrops" is a song featured on Stevie Wonder’s 2005 R&B/soul album *A Time to Love*.
-
D.
Like the Rain
"Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
-
E.
Love in the Rain
Love in the Rain is an Egyptian film featuring renowned actress Faten Hamama in a leading role.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e5ee308190a9271e73689b4a2b |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc68534819095ce62645ca79eff |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.