Triple

T8598558
Position Surface form Disambiguated ID Type / Status
Subject David Sarnoff E203613 entity
Predicate employer P7 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: [David Sarnoff, employer, RCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCA
Context triple: [David Sarnoff, employer, 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
    RCA is the international vehicle registration code for the Central African Republic.
  • C. RCA Inspiration
    RCA Inspiration is a music label imprint specializing in gospel and Christian music, operating under the larger RCA Records umbrella.
  • D. RCA Victor
    RCA Victor was a major American record label and phonograph company, historically significant for its role in the development and popularization of recorded music and audio technology.
  • E. Denon
    Denon is a Japanese audio equipment manufacturer renowned for its high-fidelity home theater systems, amplifiers, and headphones.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cc8b2081909c6aa45f8656f2ad completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8dd86d08190a7f8e674e16dd8b6 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.