Triple

T5156362
Position Surface form Disambiguated ID Type / Status
Subject RC6 E116319 entity
Predicate developedBy P73 FINISHED
Object RSA Laboratories E111851 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: RSA Laboratories | Statement: [RC6, developedBy, RSA Laboratories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSA Laboratories
Context triple: [RC6, developedBy, RSA Laboratories]
  • A. RSA Security chosen
    RSA Security is a pioneering American cybersecurity company best known for its contributions to public-key cryptography and secure data encryption technologies.
  • B. RSA Fellowship
    The RSA Fellowship is a global community of accomplished individuals from diverse fields who collaborate to address social challenges and promote innovative solutions for the public good.
  • C. RSA
    RSA is a widely used public-key cryptographic algorithm that enables secure key exchange and digital signatures in many internet security protocols.
  • D. RSA
    RSA is the three-letter World Rugby trigram used to represent the South Africa national rugby union team in international competitions and official records.
  • E. RSA Archer
    RSA Archer is an integrated risk management and governance, risk, and compliance (GRC) software platform used by organizations to identify, assess, and manage enterprise risks and regulatory obligations.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79019c6481909641f173c5b3769a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0123bc48190920f60fc29f64734 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.