Triple
T2159638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formation |
E47970
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Messy Mya
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.
|
E240191
|
NE FINISHED |
How this triple was built (4 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: Messy Mya | Statement: [Formation, featuresArtist, Messy Mya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messy Mya Context triple: [Formation, featuresArtist, Messy Mya]
-
A.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
-
B.
Missy
Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
-
C.
Mýa
Mýa is an American R&B singer, songwriter, and dancer known for late-1990s and early-2000s hits like "Case of the Ex" and her feature on "Lady Marmalade."
-
D.
Mina
Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
-
E.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Messy Mya Triple: [Formation, featuresArtist, Messy Mya]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Messy Mya Target entity description: 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.
-
A.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
-
B.
Missy
Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
-
C.
Mýa
Mýa is an American R&B singer, songwriter, and dancer known for late-1990s and early-2000s hits like "Case of the Ex" and her feature on "Lady Marmalade."
-
D.
Mina
Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
-
E.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
- F. None of above. chosen
Provenance (5 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe8894d481908eda9363fd36fea6 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58e9ceb08190871ff9c57ece23c0 |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae5a3db428819083d73b4295c4e829 |
completed | March 9, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a9b72188190bceb31975461206f |
completed | March 9, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:45 p.m.