Triple
T1630400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clint Black |
E35242
|
entity |
| Predicate | notableSingle |
P3283
|
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: [Clint Black, notableSingle, Like the Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like the Rain Context triple: [Clint Black, notableSingle, 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.
Love in the Rain
Love in the Rain is an Egyptian film featuring renowned actress Faten Hamama in a leading role.
-
C.
Tears and Rain
"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.
-
D.
No Rain
"No Rain" is a 1992 alternative rock song by Blind Melon, best known for its catchy melody and iconic "bee girl" music video.
-
E.
My Face in the Rain
"My Face in the Rain" is a track by Greek composer Vangelis featured on his 1979 electronic music album *Earth*.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb3a9b634819086b44f1574e97dcb |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6096584c81909ce50469f23a8a12 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.