Triple
T12991089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress |
E321906
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tee-Y Mix
Tee-Y Mix is a prominent Nigerian music producer and sound engineer known for crafting hit songs across Afrobeats and contemporary African pop.
|
E1014213
|
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: Tee-Y Mix | Statement: [Empress, producer, Tee-Y Mix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tee-Y Mix Context triple: [Empress, producer, Tee-Y Mix]
-
A.
Tehatta
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
-
B.
T-Mix
T-Mix is a music producer best known for his work on the debut album "Soul Survivor."
-
C.
Fuze Tea
Fuze Tea is a ready-to-drink iced tea beverage brand owned and marketed globally by The Coca-Cola Company.
-
D.
Tea-Bag
"Tea-Bag" is a socially conscious novel by Swedish crime writer Henning Mankell that explores immigration, identity, and marginalization in contemporary Europe.
-
E.
TEA
TEA is the state government agency responsible for overseeing public primary and secondary education in Texas.
- 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: Tee-Y Mix Triple: [Empress, producer, Tee-Y Mix]
Generated description
Tee-Y Mix is a prominent Nigerian music producer and sound engineer known for crafting hit songs across Afrobeats and contemporary African pop.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tee-Y Mix Target entity description: Tee-Y Mix is a prominent Nigerian music producer and sound engineer known for crafting hit songs across Afrobeats and contemporary African pop.
-
A.
Tehatta
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
-
B.
T-Mix
T-Mix is a music producer best known for his work on the debut album "Soul Survivor."
-
C.
Fuze Tea
Fuze Tea is a ready-to-drink iced tea beverage brand owned and marketed globally by The Coca-Cola Company.
-
D.
Tea-Bag
"Tea-Bag" is a socially conscious novel by Swedish crime writer Henning Mankell that explores immigration, identity, and marginalization in contemporary Europe.
-
E.
TEA
TEA is the state government agency responsible for overseeing public primary and secondary education in Texas.
- 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_69f6bb8216fc8190a0119d434adf13a5 |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:43 p.m.