Triple
T15938146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When Seconds Count |
E386490
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Oceans |
E813345
|
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: Oceans | Statement: [When Seconds Count, hasTrack, Oceans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oceans Context triple: [When Seconds Count, hasTrack, Oceans]
-
A.
Oceans
chosen
"Oceans" is a song by the British rock band Coldplay from their 2014 album *Ghost Stories*, noted for its sparse, atmospheric sound and introspective lyrics.
-
B.
Earth oceans
Earth oceans are the vast, interconnected bodies of saltwater that cover most of the planet’s surface, regulating climate, supporting diverse ecosystems, and driving global circulation patterns.
-
C.
Ocean
"Ocean" is a melodic electronic dance track by Dutch DJ and producer Martin Garrix featuring American singer Khalid.
-
D.
Ocean
Ocean is a studio album by Colombian reggaeton singer Karol G that blends Latin urban, reggaeton, and pop influences and helped solidify her international success.
-
E.
Ocean
"Ocean" is a studio album by British singer-songwriter Lady A, showcasing their country-pop sound and emotive storytelling.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ac934c8190b6178eb66023252e |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b8121881909b15bf6451d3d3a8 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.