Triple

T20259170
Position Surface form Disambiguated ID Type / Status
Subject Matt Robshaw E498784 entity
Predicate knownFor P22 FINISHED
Object RC6 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: RC6 | Statement: [Matt Robshaw, knownFor, RC6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RC6
Context triple: [Matt Robshaw, knownFor, 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. RC4
    RC4 is the common abbreviation for Route Coloniale 4, a historically significant French colonial road in northern Vietnam known for its role in the First Indochina War.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c84e848190a6e8956698b84026 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.