Triple
T18419726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3 + 3 |
E441989
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Summer Breeze |
—
|
NE NERFINISHED |
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: Summer Breeze | Statement: [3 + 3, hasPart, Summer Breeze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Summer Breeze Context triple: [3 + 3, hasPart, Summer Breeze]
-
A.
Summer Breeze
chosen
"Summer Breeze" is a smooth, soulful R&B rendition of Seals and Crofts' soft rock classic, popularized by The Isley Brothers in the 1970s.
-
B.
Cool Breeze
Cool Breeze is an American rapper from Atlanta best known as a member of the Dungeon Family collective alongside acts like Outkast and Goodie Mob.
-
C.
Summer’s Here
"Summer’s Here" is a song by the British rock band Flag.
-
D.
Face of Summer
"Face of Summer" is a track by the artist Embrace, known for its warm, melodic sound that evokes the feeling of the summer season.
-
E.
Summer Will Show
Summer Will Show is a 1936 historical novel by Sylvia Townsend Warner that follows an Englishwoman drawn into revolutionary politics and an intense same-sex relationship during the 1848 Paris uprisings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2b0f0481909c3995bf532162a3 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.