Triple

T5085218
Position Surface form Disambiguated ID Type / Status
Subject RC5 E114618 entity
Predicate relatedTo P37 FINISHED
Object RC6 E116319 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: RC6 | Statement: [RC5, relatedTo, RC6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RC6
Context triple: [RC5, relatedTo, RC6]
  • A. RC6 chosen
    RC6 is a symmetric block cipher designed as a candidate for the Advanced Encryption Standard (AES), known for its simplicity, efficiency, and parameterized structure.
  • B. RC-6
    RC-6 is a mid-size fastback sedan produced by the Chinese automaker Baojun, known for its elevated ride height and crossover-inspired styling.
  • C. RC5
    RC5 is a symmetric-key block cipher designed by cryptographer Ronald L. Rivest, known for its simplicity, parameter flexibility, and use in various encryption applications.
  • D. RC2
    RC2 is a symmetric-key block cipher designed by cryptographer Ronald L. Rivest and widely used in early Internet security applications.
  • E. Twofish
    Twofish is a symmetric key block cipher known for its speed, flexibility, and strong security, and was a finalist in the competition to become the Advanced Encryption Standard (AES).
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd751db4f4819088b998d7af0e6f41 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb13a8be08190a0f1fc3aec224dde completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:40 p.m.