Triple
T22876973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stakes Is High |
E567350
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ Ogee |
—
|
NE NERFINISHED |
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: DJ Ogee | Statement: [Stakes Is High, producer, DJ Ogee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Ogee Context triple: [Stakes Is High, producer, DJ Ogee]
-
A.
DJ O.Gee
chosen
DJ O.Gee is a hip-hop DJ best known for his work with the influential New York collective Diggin' in the Crates Crew (D.I.T.C.), contributing to its classic underground sound.
-
B.
DJ Sincere
DJ Sincere is a hip-hop DJ best known for his work with the influential New Rochelle rap group Brand Nubian.
-
C.
DJ Kay Gee
DJ Kay Gee is an American hip hop DJ and record producer best known as a member of Naughty by Nature and for producing numerous influential rap and R&B tracks in the 1990s.
-
D.
DJ Dahi
DJ Dahi is an American record producer and DJ known for his innovative, genre-blending work with major hip-hop and R&B artists.
-
E.
DJ Klem
DJ Klem is a Nigerian music producer and DJ known for crafting polished, genre-blending beats for prominent Afrobeats and hip-hop artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5966c08190a9ded9b19b166112 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.