Triple

T14015117
Position Surface form Disambiguated ID Type / Status
Subject DRAM E337183 entity
Predicate notableSingle P3283 FINISHED
Object Cha Cha E1074523 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: Cha Cha | Statement: [DRAM, notableSingle, Cha Cha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cha Cha
Context triple: [DRAM, notableSingle, Cha Cha]
  • A. Cha Cha chosen
    "Cha Cha" is a popular track by South Korean rapper DRAM that helped showcase his playful, melodic hip-hop style.
  • B. Cha-Cha
    Cha-Cha is the nickname of Hall of Fame Puerto Rican first baseman Orlando Cepeda, a star slugger primarily known for his years with the San Francisco Giants in Major League Baseball.
  • C. Rumba
    Rumba is a lively Cuban musical composition by George Gershwin, later known as the "Cuban Overture," that blends Afro-Cuban rhythms with symphonic orchestration.
  • D. Rumba
    Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
  • E. Salsa
    Salsa is one of the spacecraft in the European Space Agency’s Cluster mission, designed to study Earth’s magnetosphere and its interaction with the solar wind.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32b459c81908b652286f444e940 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.