Triple
T7971884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like the Rain |
E185341
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Like the Rain |
E185341
|
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: Like the Rain | Statement: [Like the Rain, hasTitle, Like the Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like the Rain Context triple: [Like the Rain, hasTitle, Like the Rain]
-
A.
Like the Rain
chosen
"Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
-
B.
Through the Rain
"Through the Rain" is a 2002 inspirational pop and R&B ballad by Mariah Carey about resilience and overcoming adversity.
-
C.
In the Rain
"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.
-
D.
Miracle of the Rain
Miracle of the Rain is a legendary event during Marcus Aurelius’s Marcomannic Wars in which a sudden storm saved embattled Roman troops from the Quadi, later celebrated as a sign of divine intervention.
-
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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd476108190988a75653a5c56d6 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56710dd0819084da3898cb0933b0 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:13 p.m.