Triple
T10598385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Lover |
E275676
|
entity |
| Predicate | hasPartnershipWith |
P1136
|
FINISHED |
| Object | Doctor Dré |
E275675
|
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: Doctor Dré | Statement: [Ed Lover, hasPartnershipWith, Doctor Dré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doctor Dré Context triple: [Ed Lover, hasPartnershipWith, Doctor Dré]
-
A.
Doctor Dré
chosen
Doctor Dré is an American DJ and television personality best known for co-hosting the influential hip-hop music video show "Yo! MTV Raps" in the late 1980s and early 1990s.
-
B.
Dré
Dré is the professional alias of Doctor Dré, an American DJ, radio personality, and former Yo! MTV Raps co-host known for his influence on hip-hop media.
-
C.
Schoolly D
Schoolly D is an American rapper and pioneer of gangsta rap from Philadelphia, known for his gritty, influential early recordings in the mid-1980s.
-
D.
Kenny Dope
Kenny Dope is an influential American DJ and producer best known as one half of the house music duo Masters at Work and for his genre-spanning work in house, hip-hop, and Latin-influenced dance music.
-
E.
Canibus
Canibus is an American rapper known for his complex, battle-oriented lyricism and technically intricate rhyme schemes.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded358248190ba9268a51b2805fc |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a23e24881909afb009baa0ef662 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 7:28 p.m.