Triple
T3476965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Day |
E73397
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
All Day Long
"All Day Long" is a song by Chance the Rapper from his debut studio album "The Big Day."
|
E361756
|
NE FINISHED |
How this triple was built (4 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 Long | Statement: [The Big Day, hasPart, All Day Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Day Long Context triple: [The Big Day, hasPart, All Day Long]
-
A.
All Day
"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 Night Long
"All Night Long" is a track by rapper Common from his critically acclaimed 1997 album "One Day It'll All Make Sense."
-
C.
All Along
"All Along" is a song by Kid Cudi from his album "Man on the Moon II: The Legend of Mr. Rager," known for its introspective lyrics and atmospheric production.
-
D.
One Day More
"One Day More" is a climactic ensemble song from the musical Les Misérables, in which the main characters simultaneously express their hopes and fears on the eve of the June Rebellion.
-
E.
All Day Sucker
"All Day Sucker" is a funk-infused soul track by Stevie Wonder featured on his acclaimed 1976 double album Songs in the Key of Life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: All Day Long Triple: [The Big Day, hasPart, All Day Long]
Generated description
"All Day Long" is a song by Chance the Rapper from his debut studio album "The Big Day."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: All Day Long Target entity description: "All Day Long" is a song by Chance the Rapper from his debut studio album "The Big Day."
-
A.
All Day
"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 Night Long
"All Night Long" is a track by rapper Common from his critically acclaimed 1997 album "One Day It'll All Make Sense."
-
C.
All Along
"All Along" is a song by Kid Cudi from his album "Man on the Moon II: The Legend of Mr. Rager," known for its introspective lyrics and atmospheric production.
-
D.
One Day More
"One Day More" is a climactic ensemble song from the musical Les Misérables, in which the main characters simultaneously express their hopes and fears on the eve of the June Rebellion.
-
E.
All Day Sucker
"All Day Sucker" is a funk-infused soul track by Stevie Wonder featured on his acclaimed 1976 double album Songs in the Key of Life.
- F. None of above. chosen
Provenance (5 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5a5cb88190be5624ae224e4c91 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681586788190ade529f584b76396 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b3696adb2c81909f67c90c31921097 |
completed | March 13, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36d2bd5e88190b425e71d2585e9dc |
completed | March 13, 2026, 1:49 a.m. |
Created at: March 8, 2026, 3:17 p.m.