Triple
T1182196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Hoon |
E25162
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | No Rain |
E118076
|
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: No Rain | Statement: [Shannon Hoon, notableWork, No Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Rain Context triple: [Shannon Hoon, notableWork, No Rain]
-
A.
No Rain
chosen
"No Rain" is a 1992 alternative rock song by Blind Melon, best known for its catchy melody and iconic "bee girl" music video.
-
B.
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.
-
C.
Love in the Rain
Love in the Rain is an Egyptian film featuring renowned actress Faten Hamama in a leading role.
-
D.
Buckets of Rain
"Buckets of Rain" is a gentle, acoustic folk song by Bob Dylan, noted for its bittersweet, understated reflection on love and resilience and serving as the closing track on his acclaimed album *Blood on the Tracks*.
-
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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd347d4481909e9094463011289d |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3443588190af6c06383e904e7d |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:45 p.m.