Triple
T6235282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Full Surface Records |
E139460
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Mashonda
Mashonda is an American R&B singer and songwriter known for her solo work and collaborations within the hip-hop and R&B scenes.
|
E577918
|
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: Mashonda | Statement: [Full Surface Records, associatedAct, Mashonda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mashonda Context triple: [Full Surface Records, associatedAct, Mashonda]
-
A.
Rashaida
The Rashaida are a traditionally nomadic Arab ethnic group living mainly in Eritrea and eastern Sudan, known for their distinct dress, camel herding, and preservation of Bedouin customs.
-
B.
Nolani
Nolani are the inhabitants or natives of the city of Nola in southern Italy.
-
C.
Mishanya
Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
-
D.
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.
-
E.
Dorinda
Dorinda is a feminine given name, often considered a variant or elaboration of Dorothy, used in various English-speaking cultures.
- 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: Mashonda Triple: [Full Surface Records, associatedAct, Mashonda]
Generated description
Mashonda is an American R&B singer and songwriter known for her solo work and collaborations within the hip-hop and R&B scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mashonda Target entity description: Mashonda is an American R&B singer and songwriter known for her solo work and collaborations within the hip-hop and R&B scenes.
-
A.
Rashaida
The Rashaida are a traditionally nomadic Arab ethnic group living mainly in Eritrea and eastern Sudan, known for their distinct dress, camel herding, and preservation of Bedouin customs.
-
B.
Nolani
Nolani are the inhabitants or natives of the city of Nola in southern Italy.
-
C.
Mishanya
Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
-
D.
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.
-
E.
Dorinda
Dorinda is a feminine given name, often considered a variant or elaboration of Dorothy, used in various English-speaking cultures.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062f236608190997e77b41095883f |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20df60e488190933b7fa068e96cc4 |
completed | March 24, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_69c2138258c88190a953345a34ba70ed |
completed | March 24, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c21434d18c81909b5921db80090e8e |
completed | March 24, 2026, 4:33 a.m. |
Created at: March 22, 2026, 4:23 p.m.