Triple
T12991083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress |
E321906
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Egar Boi
Egar Boi is a music producer known for crafting contemporary Afrobeat and pop sounds, including work with Nigerian artist Empress.
|
E1013978
|
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: Egar Boi | Statement: [Empress, producer, Egar Boi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egar Boi Context triple: [Empress, producer, Egar Boi]
-
A.
Boi Para
Boi Para is Kolkata’s famed book district, a bustling stretch of College Street renowned for its countless bookshops, secondhand stalls, and vibrant literary culture.
-
B.
Boorga
Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
-
C.
Boyega
Boyega is the surname of British actor and producer John Boyega, best known for his role as Finn in the Star Wars sequel trilogy.
-
D.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
-
E.
Boe
Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
- 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: Egar Boi Triple: [Empress, producer, Egar Boi]
Generated description
Egar Boi is a music producer known for crafting contemporary Afrobeat and pop sounds, including work with Nigerian artist Empress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Egar Boi Target entity description: Egar Boi is a music producer known for crafting contemporary Afrobeat and pop sounds, including work with Nigerian artist Empress.
-
A.
Boi Para
Boi Para is Kolkata’s famed book district, a bustling stretch of College Street renowned for its countless bookshops, secondhand stalls, and vibrant literary culture.
-
B.
Boorga
Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
-
C.
Boyega
Boyega is the surname of British actor and producer John Boyega, best known for his role as Finn in the Star Wars sequel trilogy.
-
D.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
-
E.
Boe
Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6baa76e8c8190b84fd31657ef3385 |
completed | May 3, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:43 p.m.