Triple

T1142193
Position Surface form Disambiguated ID Type / Status
Subject NBC Blue Network E23477 entity
Predicate parentOrganization P254 FINISHED
Object RCA E2759 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: RCA | Statement: [NBC Blue Network, parentOrganization, RCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCA
Context triple: [NBC Blue Network, parentOrganization, RCA]
  • A. RCA chosen
    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.
  • B. RCA Inspiration
    RCA Inspiration is a music label imprint specializing in gospel and Christian music, operating under the larger RCA Records umbrella.
  • C. Bose
    Bose is a common Indian surname most prominently associated with physicist Satyendra Nath Bose, whose work led to the concept of bosons and Bose–Einstein statistics.
  • D. Philco
    Philco was a pioneering American electronics manufacturer best known for its radios, televisions, and early computer and semiconductor technologies.
  • E. Kenwood
    Kenwood is a small community in California’s Sonoma Valley known for its wineries, vineyards, and scenic rural charm.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc4d414881908fc636e8ccbc4c34 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b2395c81909d4608bdaf1d57e8 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.