Triple
T13793787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drill Music in Zion |
E331461
|
entity |
| Predicate | mainComposer |
P1361
|
FINISHED |
| Object | Soundtrakk |
E331464
|
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: Soundtrakk | Statement: [Drill Music in Zion, mainComposer, Soundtrakk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soundtrakk Context triple: [Drill Music in Zion, mainComposer, Soundtrakk]
-
A.
Soundtrakk
chosen
Soundtrakk is a hip-hop record producer best known for crafting many of Lupe Fiasco’s signature tracks, including several of his most acclaimed singles and album cuts.
-
B.
DJay
DJay is the small-time Memphis hustler who pursues a rap career in the film "Hustle & Flow," portrayed by Terrence Howard.
-
C.
Pearson Sound
Pearson Sound is the alias of British electronic music producer and DJ David Kennedy, known for his innovative contributions to dubstep, UK bass, and experimental club music.
-
D.
Audiomack
Audiomack is a music streaming and audio discovery platform known for hosting and promoting emerging artists, mixtapes, and independent releases.
-
E.
Odeo
Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc31861b8819089d08c824512ab7f |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:11 p.m.