Triple

T7414863
Position Surface form Disambiguated ID Type / Status
Subject Joan Daemen E171103 entity
Predicate designerOf P184 FINISHED
Object Noekeon
Noekeon is a lightweight block cipher designed for efficiency and simplicity in constrained environments, co-created by cryptographer Joan Daemen.
 E663898 NE FINISHED

How this triple was built (4 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: Noekeon | Statement: [Joan Daemen, designerOf, Noekeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noekeon
Context triple: [Joan Daemen, designerOf, Noekeon]
  • A. Tanaeang
    Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • B. Yeongdodaegyo
    Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
  • C. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • D. Gatokae
    Gatokae is a volcanic island in the New Georgia Islands group of the Solomon Islands, known for its rugged terrain, surrounding coral reefs, and traditional villages.
  • E. Nggae
    Nggae is an alternative name for the Ghari language spoken in the Solomon Islands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Noekeon
Triple: [Joan Daemen, designerOf, Noekeon]
Generated description
Noekeon is a lightweight block cipher designed for efficiency and simplicity in constrained environments, co-created by cryptographer Joan Daemen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noekeon
Target entity description: Noekeon is a lightweight block cipher designed for efficiency and simplicity in constrained environments, co-created by cryptographer Joan Daemen.
  • A. Tanaeang
    Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • B. Yeongdodaegyo
    Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
  • C. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • D. Gatokae
    Gatokae is a volcanic island in the New Georgia Islands group of the Solomon Islands, known for its rugged terrain, surrounding coral reefs, and traditional villages.
  • E. Nggae
    Nggae is an alternative name for the Ghari language spoken in the Solomon Islands.
  • F. None of above. chosen

Provenance (5 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f4ec85488190a1f7fb913e0fbe35 completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ee1b48c81909912ff0d7bf2837e completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81fb91eb88190b6436ace69d44211 completed March 28, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69c822f547388190be0879b70542a421 completed March 28, 2026, 6:50 p.m.
Created at: March 27, 2026, 3:11 p.m.