Triple
T7962256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Day |
E184896
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | All Day |
E184896
|
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: All Day | Statement: [All Day, title, All Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Day Context triple: [All Day, title, All Day]
-
A.
All Day
chosen
"All Day" is a 2015 Kanye West single featuring contributions from several artists, including CyHi the Prynce, known for its aggressive production and rapid-fire verses.
-
B.
All Day Long
"All Day Long" is a song by Chance the Rapper from his debut studio album "The Big Day."
-
C.
Day by Day
"Day by Day" is a popular devotional song from the 1971 musical *Godspell*, known for its simple, prayer-like lyrics and enduring presence in both theater and contemporary Christian music.
-
D.
Beautiful Day
"Beautiful Day" is a Grammy-winning rock anthem by Irish band U2, known for its uplifting lyrics and soaring, atmospheric sound.
-
E.
A Good Day
"A Good Day" is the debut studio album by American singer-songwriter Priscilla Ahn, showcasing her gentle folk-pop style and introspective songwriting.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9df72081908d33925da10192e9 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe08c36f48190b005c6c92ad813d0 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.