Triple

T52861
Position Surface form Disambiguated ID Type / Status
Subject Evolver E1038 entity
Predicate recordLabel P1500 FINISHED
Object Columbia Records E8562 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: Columbia Records | Statement: [Evolver, recordLabel, Columbia Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbia Records
Context triple: [Evolver, recordLabel, Columbia Records]
  • A. Columbia Records chosen
    Columbia Records is a major American record label, one of the oldest in the world, known for signing and releasing music by many influential and commercially successful artists across diverse genres.
  • B. RCA Records
    RCA Records is a major American record label, historically influential in popular music and home to numerous iconic artists across genres.
  • C. Arista Records
    Arista Records is a major American record label known for signing and promoting numerous successful artists across pop, R&B, and rock music.
  • D. RCA
    RCA (Radio Corporation of America) was a major American electronics and communications company that played a pivotal role in the development and commercialization of radio and television technology in the 20th century.
  • E. Broadway Limited
    Broadway Limited was a famous luxury passenger train that operated between New York City and Chicago, serving as one of the Pennsylvania Railroad’s premier flagship services.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b04ef708190876686da9db1f04d completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266e716048190a57f681fccb4fdeb completed Feb. 28, 2026, 3:54 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.