Triple
T6335021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainier Fog |
E142469
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rainier Fog (song) |
E142469
|
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: Rainier Fog (song) | Statement: [Rainier Fog, hasPart, Rainier Fog (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rainier Fog (song) Context triple: [Rainier Fog, hasPart, Rainier Fog (song)]
-
A.
Cold Rain
"Cold Rain" is a song by rapper Talib Kweli from his album *Gutter Rainbows*, blending reflective lyrics with soulful, atmospheric production.
-
B.
Rainier Fog
chosen
Rainier Fog is a 2018 studio album by American rock band Alice in Chains, noted for its heavy sound, dark themes, and a return to the Seattle roots of the group.
-
C.
A Foggy Day
"A Foggy Day" is a popular jazz and pop standard composed by George and Ira Gershwin, widely recorded by vocalists and instrumentalists since its 1937 debut.
-
D.
"Rain"
"Rain" is a song by Japanese-American singer-songwriter Mika, known for its catchy pop melody and emotive lyrics.
-
E.
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.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06549084c8190b73fd94c9e0cb302 |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6042ab22c8190a7486049f45a546b |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.