Triple

T404029
Position Surface form Disambiguated ID Type / Status
Subject How Will I Know E9345 entity
Predicate label P38 FINISHED
Object Arista Records E4611 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: Arista Records | Statement: [How Will I Know, label, Arista Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arista Records
Context triple: [How Will I Know, label, Arista Records]
  • A. Arista Records chosen
    Arista Records is a major American record label known for signing and promoting numerous successful artists across pop, R&B, and rock music.
  • B. ABC Records
    ABC Records was a prominent American record label known for releasing influential blues, jazz, and pop recordings, including notable works by B.B. King.
  • C. RCA Records
    RCA Records is a major American record label, historically influential in popular music and home to numerous iconic artists across genres.
  • D. Columbia Records
    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.
  • E. MCA Records
    MCA Records was a major American record label known for releasing music by prominent rock, pop, and country artists throughout the latter half of the 20th century.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eca226fc81909d6ccc38a637daa6 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f43f1481908b095300fd6630c9 completed March 1, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.