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.