Triple

T18030981
Position Surface form Disambiguated ID Type / Status
Subject Sweet Lady E431387 entity
Predicate recordLabel P1500 FINISHED
Object RCA NE NERFINISHED

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: [Sweet Lady, recordLabel, RCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCA
Context triple: [Sweet Lady, recordLabel, RCA]
  • A. 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.
  • B. RCA
    RCA is the international vehicle registration code for the Central African Republic.
  • C. RCA chosen
    RCA is a major American record label known for signing and promoting a wide range of influential artists across genres such as pop, rock, and R&B.
  • D. RCA
    RCA is the commonly used abbreviation for the Royal Canadian Artillery, the artillery branch of the Canadian Army.
  • E. RCA Camden
    RCA Camden was a budget record label imprint of RCA Records known for reissuing and repackaging popular artists’ recordings at lower prices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be35a70081909d24d36506d18131 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.