Triple
T8484710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nibiru |
E200803
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tainy
Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
|
E735718
|
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: Tainy | Statement: [Nibiru, producer, Tainy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tainy Context triple: [Nibiru, producer, Tainy]
-
A.
Rayvanny
Rayvanny is a Tanzanian Bongo Flava and Afro-pop singer and songwriter known for his hit singles and work under the WCB Wasafi record label.
-
B.
Timia
Timia is an oasis village in northern Niger, known for its date palms, gardens, and role as a traditional Tuareg settlement in the Aïr Mountains.
-
C.
Zaytoven
Zaytoven is an American record producer and DJ known for his influential work in trap music and collaborations with major hip-hop artists.
-
D.
Laino
Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
-
E.
Caluma
Caluma is a small town in Ecuador’s Bolívar Province, known for its agricultural surroundings and rural Andean setting.
- 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: Tainy Triple: [Nibiru, producer, Tainy]
Generated description
Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tainy Target entity description: Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
-
A.
Rayvanny
Rayvanny is a Tanzanian Bongo Flava and Afro-pop singer and songwriter known for his hit singles and work under the WCB Wasafi record label.
-
B.
Timia
Timia is an oasis village in northern Niger, known for its date palms, gardens, and role as a traditional Tuareg settlement in the Aïr Mountains.
-
C.
Zaytoven
Zaytoven is an American record producer and DJ known for his influential work in trap music and collaborations with major hip-hop artists.
-
D.
Laino
Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
-
E.
Caluma
Caluma is a small town in Ecuador’s Bolívar Province, known for its agricultural surroundings and rural Andean setting.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a3d7cb481908b366f76639bb955 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3b1f6f7c8190927b5e2684ae207b |
completed | April 2, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3b9d38e081909be10cb209b15427 |
completed | April 2, 2026, 9:49 a.m. |
Created at: March 30, 2026, 6:12 p.m.