Triple
T20434473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Scenes |
E501216
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | How Deep Is the Ocean |
—
|
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: How Deep Is the Ocean | Statement: [Love Scenes, hasTrack, How Deep Is the Ocean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Deep Is the Ocean Context triple: [Love Scenes, hasTrack, How Deep Is the Ocean]
-
A.
How Deep Is the Ocean?
chosen
"How Deep Is the Ocean?" is a classic American popular song and jazz standard, renowned for its poignant lyrics and melody, composed by songwriter Irving Berlin in 1932.
-
B.
Ocean Deep
Ocean Deep is an episode of the documentary series "Planet Earth" that explores the mysterious and extreme environments of the world's deepest oceans and the unique life forms that inhabit them.
-
C.
In Deep
"In Deep" is a song by American singer-songwriter Skylar Grey from her album "Side Effects of You."
-
D.
Deep Sea
Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
-
E.
Where the Deep Water Goes
"Where the Deep Water Goes" is a track from the progressive rock band Scavenger, likely showcasing their atmospheric and intricate musical style.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ecf7ac81908e9c2ef4348fb281 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.