Triple
T5718345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day 'n' Nite |
E126075
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
So Me
So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
|
E541280
|
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: So Me | Statement: [Day 'n' Nite, musicVideoDirector, So Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Me Context triple: [Day 'n' Nite, musicVideoDirector, So Me]
-
A.
On Me
"On Me" is a popular hip-hop single by American rapper Lil Baby, known for its melodic flow and chart success.
-
B.
Me, Myself & I
Me, Myself & I is an American sitcom that follows one man's life across three distinct time periods, exploring how his experiences shape him from adolescence to old age.
-
C.
Dear Me
"Dear Me" is the witty and reflective autobiography of British actor, writer, and raconteur Peter Ustinov.
-
D.
Another Me
Another Me is a psychological thriller film about a teenage girl haunted by a mysterious doppelgänger that blurs the line between reality and paranoia.
-
E.
Me, Myself and I
"Me, Myself and I" is a soulful R&B ballad by Beyoncé that reflects on self-reliance and personal strength after heartbreak.
- 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: So Me Triple: [Day 'n' Nite, musicVideoDirector, So Me]
Generated description
So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Me Target entity description: So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
-
A.
On Me
"On Me" is a popular hip-hop single by American rapper Lil Baby, known for its melodic flow and chart success.
-
B.
Me, Myself & I
Me, Myself & I is an American sitcom that follows one man's life across three distinct time periods, exploring how his experiences shape him from adolescence to old age.
-
C.
Dear Me
"Dear Me" is the witty and reflective autobiography of British actor, writer, and raconteur Peter Ustinov.
-
D.
Another Me
Another Me is a psychological thriller film about a teenage girl haunted by a mysterious doppelgänger that blurs the line between reality and paranoia.
-
E.
Me, Myself and I
"Me, Myself and I" is a soulful R&B ballad by Beyoncé that reflects on self-reliance and personal strength after heartbreak.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e084cc81909a652f7c10d32c32 |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a7af5788190827ff8050eb6416d |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05c75179c819085bf56340363b48c |
completed | March 22, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d2ef9488190ac0111cb6a94b1d0 |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:46 p.m.