Triple
T20306906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean to Ocean |
E510129
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Ocean to Ocean (song) |
—
|
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: Ocean to Ocean (song) | Statement: [Ocean to Ocean, hasSingle, Ocean to Ocean (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean to Ocean (song) Context triple: [Ocean to Ocean, hasSingle, Ocean to Ocean (song)]
-
A.
Ocean to Ocean
chosen
"Ocean to Ocean" is a 2021 studio album by American singer-songwriter and pianist Tori Amos, noted for its introspective lyrics and lush, piano-driven sound.
-
B.
Oceano (album)
Oceano is a studio album by Brazilian jazz pianist and vocalist Ivan Lins, blending smooth jazz, MPB, and sophisticated arrangements that helped define his international reputation.
-
C.
Ocean Song
Ocean Song is a musical section from Jon Anderson’s progressive rock concept album "Olias of Sunhillow," contributing to its ethereal, fantasy-inspired soundscape.
-
D.
Orange Ocean
Orange Ocean is a water-themed region in the Kirby video game series’ Dream Land, known for its oceanic stages and maritime challenges.
-
E.
Blue Water
Blue Water is an Amtrak passenger rail service operating in the Midwest, primarily connecting Chicago with cities in Michigan.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6774068c08190824fa55438bab712 |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.