Triple
T10049549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredro Starr |
E207709
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Sonny Seeza
Sonny Seeza is an American rapper best known as a member of the hardcore hip hop group Onyx.
|
E838074
|
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: Sonny Seeza | Statement: [Fredro Starr, associatedAct, Sonny Seeza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonny Seeza Context triple: [Fredro Starr, associatedAct, Sonny Seeza]
-
A.
Sonny Pillay
Sonny Pillay is a South African musician best known for his brief marriage to legendary singer and activist Miriam Makeba.
-
B.
Bobby Khan
Bobby Khan is an Indian film director and choreographer known for his work in Bollywood music videos and films.
-
C.
Sonny Wortzik
Sonny Wortzik is the desperate, emotionally volatile bank robber protagonist of the 1975 film "Dog Day Afternoon," portrayed by Al Pacino and inspired by a real-life attempted heist.
-
D.
Sonny T.
Sonny T. is an American bassist and musician best known for his work with Prince as a member of the New Power Generation.
-
E.
Toran Darell
Toran Darell is a central character in Isaac Asimov's Foundation series, notably appearing as a key figure in the novel "Foundation and Empire."
- 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: Sonny Seeza Triple: [Fredro Starr, associatedAct, Sonny Seeza]
Generated description
Sonny Seeza is an American rapper best known as a member of the hardcore hip hop group Onyx.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonny Seeza Target entity description: Sonny Seeza is an American rapper best known as a member of the hardcore hip hop group Onyx.
-
A.
Sonny Pillay
Sonny Pillay is a South African musician best known for his brief marriage to legendary singer and activist Miriam Makeba.
-
B.
Bobby Khan
Bobby Khan is an Indian film director and choreographer known for his work in Bollywood music videos and films.
-
C.
Sonny Wortzik
Sonny Wortzik is the desperate, emotionally volatile bank robber protagonist of the 1975 film "Dog Day Afternoon," portrayed by Al Pacino and inspired by a real-life attempted heist.
-
D.
Sonny T.
Sonny T. is an American bassist and musician best known for his work with Prince as a member of the New Power Generation.
-
E.
Toran Darell
Toran Darell is a central character in Isaac Asimov's Foundation series, notably appearing as a key figure in the novel "Foundation and Empire."
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8e41c4819091fa12742197e207 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2829674f08190b5f9c3b984106469 |
completed | April 5, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69d2868c5c88819080d73e50fabc2bb7 |
completed | April 5, 2026, 3:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d286fdd2c88190b0ce5070c7875dcc |
completed | April 5, 2026, 3:59 p.m. |
Created at: March 30, 2026, 8:56 p.m.