Triple
T13777959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Movement |
E331059
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ Revolution |
E1055097
|
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 Revolution | Statement: [The Movement, producer, DJ Revolution]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Revolution Context triple: [The Movement, producer, DJ Revolution]
-
A.
DJ Revolution
chosen
DJ Revolution is an American hip hop DJ and producer known for his intricate turntablism, underground collaborations, and long-running role on the radio show "The Wake Up Show."
-
B.
Beat Nation
Beat Nation is a music production entity best known for its work producing tracks for the hip-hop artist King of Queens.
-
C.
Beat Nation
Beat Nation is a music project or group associated with producer Mama Africa, known for blending culturally rooted sounds with contemporary beats.
-
D.
Kill Da DJ
"Kill Da DJ" is a notable track from Nicki Minaj’s mixtape *Beam Me Up Scotty*, recognized for its aggressive delivery and braggadocious lyrics.
-
E.
Dance Dance Revolution
Dance Dance Revolution is a critically acclaimed poetry collection by Cathy Park Hong that blends experimental language, political commentary, and imagined histories in a hybrid, multilingual voice.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07460c081908b3836a3ec382961 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:10 p.m.