Triple
T5108163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junya |
E115148
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gesaffelstein |
E87353
|
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: Gesaffelstein | Statement: [Junya, producer, Gesaffelstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gesaffelstein Context triple: [Junya, producer, Gesaffelstein]
-
A.
Gesaffelstein
chosen
Gesaffelstein is a French electronic music producer and DJ known for his dark, industrial techno sound and collaborations with major artists like Kanye West.
-
B.
Rahzel
Rahzel is an American beatboxer and vocal percussionist renowned for his innovative ability to simultaneously sing and beatbox, and for his prominent work with the hip hop group The Roots.
-
C.
DJ Lord
DJ Lord is an American turntablist and hip hop DJ best known as the longtime touring and performance DJ for the influential rap group Public Enemy.
-
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.
Fashawn
Fashawn is an American hip-hop artist and rapper known for his introspective lyrics and collaborations with prominent figures in the underground and mainstream rap scenes.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75aa6b088190b02cdb66ec4a11f0 |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba9ec0fc819085dcd1d27f46f377 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.