Triple
T21986325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood Money |
E542970
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ Green Lantern |
—
|
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 Green Lantern | Statement: [Blood Money, producer, DJ Green Lantern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Green Lantern Context triple: [Blood Money, producer, DJ Green Lantern]
-
A.
DJ Green Lantern
chosen
DJ Green Lantern is an American hip hop DJ and producer known for his influential mixtapes, radio shows, and collaborations with major rap artists.
-
B.
DJ Alamo
DJ Alamo is an American hip-hop DJ best known for his work with the influential rap group Brand Nubian during the early 1990s.
-
C.
DJ Lethal
DJ Lethal is a Latvian-American DJ and producer best known as a member of the rap rock band Limp Bizkit and formerly of the hip hop group House of Pain.
-
D.
DJ Sincere
DJ Sincere is a hip-hop DJ best known for his work with the influential New Rochelle rap group Brand Nubian.
-
E.
DJ Vance
DJ Vance is a fictional character from the television series "Hacks," appearing as part of the show's comedic exploration of the entertainment industry.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12709cb288190a2620e337fea364c |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:04 p.m.