Triple
T3127480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kids See Ghosts |
E65331
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dot da Genius |
E184958
|
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: Dot da Genius | Statement: [Kids See Ghosts, producer, Dot da Genius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dot da Genius Context triple: [Kids See Ghosts, producer, Dot da Genius]
-
A.
Dot da Genius
chosen
Dot da Genius is an American record producer best known for his longtime collaboration with Kid Cudi, including co-creating the hit single "Day 'n' Nite."
-
B.
Ever Genius
Ever Genius is a large container ship operated by Evergreen Marine and part of the same vessel class as the famously wedged Suez Canal ship Ever Given.
-
C.
Doty
Doty is an English-language surname borne by various notable individuals, including early American settler Edward Doty of the Mayflower.
-
D.
Mr. DJ
Mr. DJ is a hip-hop music producer best known for his work with OutKast and on tracks like "Universal Mind Control."
-
E.
D-a-v-e
D-a-v-e is a stylized spelling of the common given name "Dave," typically a diminutive of "David."
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada546a6648190bc4bc3e599e6aa95 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7926248190b8f08e3a626e8eab |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.