Triple
T14190933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hey Ma |
E351710
|
entity |
| Predicate | featuredArtist |
P997
|
FINISHED |
| Object |
Toya
Toya is an American R&B singer best known for her early-2000s work, including collaborations like her feature on Cam'ron's hit single "Hey Ma."
|
E1086488
|
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: Toya | Statement: [Hey Ma, featuredArtist, Toya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toya Context triple: [Hey Ma, featuredArtist, Toya]
-
A.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
-
B.
LaToya Tonodeo
LaToya Tonodeo is an American actress best known for her role as Diana Tejada in the television series "Power Book II: Ghost."
-
C.
Mariko
Mariko is a central female character in the 1980 television miniseries "Shogun," known for her complex role as a noblewoman navigating political intrigue and cultural conflict in feudal Japan.
-
D.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
E.
LaToya
LaToya is a feminine given name most notably associated with American singer and actress LaToya London.
- 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: Toya Triple: [Hey Ma, featuredArtist, Toya]
Generated description
Toya is an American R&B singer best known for her early-2000s work, including collaborations like her feature on Cam'ron's hit single "Hey Ma."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toya Target entity description: Toya is an American R&B singer best known for her early-2000s work, including collaborations like her feature on Cam'ron's hit single "Hey Ma."
-
A.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
-
B.
LaToya Tonodeo
LaToya Tonodeo is an American actress best known for her role as Diana Tejada in the television series "Power Book II: Ghost."
-
C.
Mariko
Mariko is a central female character in the 1980 television miniseries "Shogun," known for her complex role as a noblewoman navigating political intrigue and cultural conflict in feudal Japan.
-
D.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
E.
LaToya
LaToya is a feminine given name most notably associated with American singer and actress LaToya London.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1946eb68819096adf3c16a39818d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1eed1008819088635be43fbb1439 |
completed | May 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1f7c5d208190bab5d57e931fd082 |
completed | May 7, 2026, 11:25 p.m. |
Created at: April 10, 2026, 1:04 a.m.