Triple
T14489600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Ray |
E359326
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | DJ Homicide |
E1069895
|
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: DJ Homicide | Statement: [Sugar Ray, member, DJ Homicide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Homicide Context triple: [Sugar Ray, member, DJ Homicide]
-
A.
DJ Homicide
chosen
DJ Homicide is an American DJ and record producer best known as a member of the rock band Sugar Ray and for his work across hip hop and alternative music.
-
B.
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.
-
C.
DJ Nasty
DJ Nasty is a hip-hop music producer best known for his work on Ludacris’s album "Chicken-n-Beer."
-
D.
DJ Blaqstarr
DJ Blaqstarr is an American DJ and producer known for his influential work in Baltimore club music and collaborations with artists like M.I.A.
-
E.
DJ Frank E
DJ Frank E is an American record producer and songwriter known for crafting pop and hip-hop hits for major artists across the 2000s and 2010s.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d90f86081908b25f3eb90042c73 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.