Triple
T7207397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audio Push |
E148699
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Shine |
E648423
|
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: Shine | Statement: [Audio Push, notableSong, Shine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shine Context triple: [Audio Push, notableSong, Shine]
-
A.
Shine
Shine is a studio album by British R&B singer Estelle that showcases her blend of soul, hip hop, and pop influences.
-
B.
Shine
"Shine" is a pop song by British boy band Take That, known for its upbeat, retro-inspired sound and success as a major UK hit.
-
C.
Shine
"Shine" is an early EP by the Seattle rock band Mother Love Bone that helped establish their influential role in the emerging grunge scene.
-
D.
Shine
"Shine" is a track from Lil Wayne’s acclaimed album *Tha Carter*, showcasing his introspective lyricism and distinctive Southern hip-hop style.
-
E.
Shine
chosen
"Shine" is a hip-hop track by the California rap duo Audio Push, known for its motivational lyrics and polished, West Coast-influenced production.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e969c5fc819096bc03bfba12d0cf |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbf0c014819088f80fccfc1d2341 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:52 p.m.