Triple

T13736404
Position Surface form Disambiguated ID Type / Status
Subject Ice Cream E329956 entity
Predicate labelImprint P2763 FINISHED
Object Loud / RCA E293976 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: Loud / RCA | Statement: [Ice Cream, labelImprint, Loud / RCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loud / RCA
Context triple: [Ice Cream, labelImprint, Loud / RCA]
  • A. Loud Records chosen
    Loud Records is an American hip-hop and urban music record label known for signing influential artists such as Wu-Tang Clan, Big Pun, and Mobb Deep.
  • 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. RCA
    RCA is the international vehicle registration code for the Central African Republic.
  • D. RCA
    RCA is the commonly used abbreviation for the Royal Canadian Artillery, the artillery branch of the Canadian Army.
  • E. 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.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de020351fc8190a554a48c552e83b5 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d68da04819089c95d9bfedc7496 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.