Triple
T7976249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Hernandez |
E185452
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Keke
"Keke" is a song by rapper Daniel Hernandez, better known as 6ix9ine, featuring additional hip-hop artists and known for its aggressive style and chart success.
|
E127675
|
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: Keke | Statement: [Daniel Hernandez, notableWork, Keke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keke Context triple: [Daniel Hernandez, notableWork, Keke]
-
A.
Keke
"Keke" is a hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive style and collaboration with fellow New York artists.
-
B.
Keechie
Keechie is a central character in the 1948 film noir "They Live by Night," known as the compassionate young woman who falls in love with a fugitive and dreams of escaping their criminal world.
-
C.
KEKO
KEKO is the ICAO airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
-
D.
Kedzie
Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
-
E.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
- 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: Keke Triple: [Daniel Hernandez, notableWork, Keke]
Generated description
"Keke" is a song by rapper Daniel Hernandez, better known as 6ix9ine, featuring additional hip-hop artists and known for its aggressive style and chart success.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keke Target entity description: "Keke" is a song by rapper Daniel Hernandez, better known as 6ix9ine, featuring additional hip-hop artists and known for its aggressive style and chart success.
-
A.
Keke
chosen
"Keke" is a hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive style and collaboration with fellow New York artists.
-
B.
Keechie
Keechie is a central character in the 1948 film noir "They Live by Night," known as the compassionate young woman who falls in love with a fugitive and dreams of escaping their criminal world.
-
C.
KEKO
KEKO is the ICAO airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
-
D.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
-
E.
Kedzie
Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
- F. None of above.
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_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_69cbe0c39e248190a146c1f2fd815f26 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43d29f8819080f7d729c4f28c75 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc32e2e1c48190b86218bff9af99f5 |
completed | March 31, 2026, 8:47 p.m. |
Created at: March 30, 2026, 5:14 p.m.