Triple
T20410534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatever Gets You Through the Day |
E500575
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Into the Blue |
—
|
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: Into the Blue | Statement: [Whatever Gets You Through the Day, hasPart, Into the Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Into the Blue Context triple: [Whatever Gets You Through the Day, hasPart, Into the Blue]
-
A.
Into the Blue
chosen
Into the Blue is a 2005 action-thriller film about a group of divers who discover a sunken plane full of drugs, starring Paul Walker and Jessica Alba.
-
B.
Into the Blue
Into the Blue is a work created by filmmaker and writer Matt Johnson, known for his offbeat, genre-blending storytelling.
-
C.
Deeper Blue
Deeper Blue was an enhanced version of IBM’s Deep Blue chess computer, designed to achieve even stronger performance against top human grandmasters.
-
D.
Into the Ocean
"Into the Ocean" is a melancholic alternative rock song by Blue October that blends introspective lyrics about loss and depression with a haunting, melodic arrangement.
-
E.
A World of Blue
"A World of Blue" is a song by American country artist Dwight Yoakam from his album "Tomorrow’s Sounds Today."
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.