Triple
T15328784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Ryan |
E366479
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ Khalil |
E86161
|
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 Khalil | Statement: [Book of Ryan, producer, DJ Khalil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Khalil Context triple: [Book of Ryan, producer, DJ Khalil]
-
A.
DJ Khalil
chosen
DJ Khalil is an American record producer and songwriter known for his atmospheric, hard-hitting hip-hop and R&B productions for major artists across the industry.
-
B.
DJ Khaled
DJ Khaled is an American DJ, record producer, and media personality known for his star-studded hip-hop collaborations and catchphrases like "Another one."
-
C.
DJ Kayslay
DJ Kay Slay was an influential New York hip-hop DJ and mixtape pioneer known for his street-centric tapes, radio shows, and collaborations with major rap artists.
-
D.
DJ Kaywise
DJ Kaywise is a popular Nigerian disc jockey and music producer known for his hit street anthems, mixtapes, and collaborations with top Afrobeats artists.
-
E.
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.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b3dac6c81908eaa0aaad29113ee |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:16 a.m.