Triple
T7976246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Hernandez |
E185452
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Tekashi69 |
E24334
|
NE FINISHED |
How this triple was built (2 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: Tekashi69 | Statement: [Daniel Hernandez, hasAlias, Tekashi69]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tekashi69 Context triple: [Daniel Hernandez, hasAlias, Tekashi69]
-
A.
Tekashi 6ix9ine
chosen
Tekashi 6ix9ine is an American rapper known for his aggressive style, rainbow-colored appearance, legal troubles, and highly publicized cooperation with federal authorities.
-
B.
Zaytoven
Zaytoven is an American record producer and DJ known for his influential work in trap music and collaborations with major hip-hop artists.
-
C.
Lil Kesh
Lil Kesh is a Nigerian rapper and singer known for his street-hop hits and prominence in the Yoruba-influenced contemporary Afrobeats scene.
-
D.
Slim Thug
Slim Thug is an American rapper from Houston, Texas, known for his deep voice, Southern hip hop style, and collaborations with artists like Mike Jones, Beyoncé, and Pharrell Williams.
-
E.
Kodak Black
Kodak Black is an American rapper known for his melodic flow, troubled legal history, and hit songs like "Tunnel Vision" and "ZEZE."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf56f688190902b95afe42635ec |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5677968881908835169157244962 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:14 p.m.