Triple
T13696140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Tape |
E328388
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | MuddyMya |
E240191
|
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: MuddyMya | Statement: [Yellow Tape, producer, MuddyMya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MuddyMya Context triple: [Yellow Tape, producer, MuddyMya]
-
A.
Messy Mya
chosen
Messy Mya was a New Orleans bounce rapper, comedian, and internet personality known for his viral YouTube videos and influence on the city’s bounce music scene.
-
B.
MihTy
MihTy is a collaborative R&B/hip-hop album by Ty Dolla Sign and Jeremih known for its smooth, melodic tracks and sensual themes.
-
C.
Myal
Myal is an Afro-Caribbean spiritual tradition originating among enslaved Africans in Jamaica, characterized by spirit possession, healing rituals, and resistance to oppression.
-
D.
Mikeyir
Mikeyir is an alternative name or alias used by the professional wrestler and actor Sabu.
-
E.
Maymyo
Maymyo is the former colonial-era name of Pyin Oo Lwin, a hill town in Myanmar known for its cool climate and British-influenced architecture.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79453395481909d651cb3a128f23d |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.