Triple
T20289671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Jiong |
E509984
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Day Day Up
Day Day Up is a popular Chinese variety talk show known for its humorous interviews, celebrity guests, and lighthearted exploration of culture and everyday life.
|
E1422733
|
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: Day Day Up | Statement: [He Jiong, notableWork, Day Day Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Day Day Up Context triple: [He Jiong, notableWork, Day Day Up]
-
A.
What a Day
"What a Day" is the debut solo album by virtuoso guitarist and singer-songwriter Phil Keaggy, showcasing his early blend of Christian themes with intricate acoustic and electric guitar work.
-
B.
Up and Down
"Up and Down" is a song by Doja Cat from her genre-blending, futuristic-themed album *Planet Her*.
-
C.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
D.
Better Dayz
Better Dayz is a posthumous double album by American rapper Tupac Shakur, featuring previously unreleased and remixed tracks recorded before his death.
-
E.
Best Day Ever
Best Day Ever is a 2011 mixtape by Mac Miller that helped propel his early mainstream popularity with upbeat, feel-good tracks.
- 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: Day Day Up Triple: [He Jiong, notableWork, Day Day Up]
Generated description
Day Day Up is a popular Chinese variety talk show known for its humorous interviews, celebrity guests, and lighthearted exploration of culture and everyday life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Day Day Up Target entity description: Day Day Up is a popular Chinese variety talk show known for its humorous interviews, celebrity guests, and lighthearted exploration of culture and everyday life.
-
A.
What a Day
"What a Day" is the debut solo album by virtuoso guitarist and singer-songwriter Phil Keaggy, showcasing his early blend of Christian themes with intricate acoustic and electric guitar work.
-
B.
Up and Down
"Up and Down" is a song by Doja Cat from her genre-blending, futuristic-themed album *Planet Her*.
-
C.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
D.
Better Dayz
Better Dayz is a posthumous double album by American rapper Tupac Shakur, featuring previously unreleased and remixed tracks recorded before his death.
-
E.
Best Day Ever
Best Day Ever is a 2011 mixtape by Mac Miller that helped propel his early mainstream popularity with upbeat, feel-good tracks.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67694d50881909d59c1037295c1d0 |
completed | April 20, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a2da9d48190b4a1fd2c95b60093 |
completed | May 16, 2026, 11:51 a.m. |
| NEDg | Description generation | batch_6a085aecd7e48190a82b7cc8ac9f53ba |
completed | May 16, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085baddf1c8190ac7444a8e1d5128f |
completed | May 16, 2026, 11:57 a.m. |
Created at: April 16, 2026, 11:11 a.m.