Triple

T26408892
Position Surface form Disambiguated ID Type / Status
Subject The Design of Rijndael E663904 entity
Predicate series P1761 FINISHED
Object Information Security and Cryptography
Information Security and Cryptography is a technical book series focused on advanced research and practical developments in securing information systems and cryptographic methods.
 E1726124 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: Information Security and Cryptography | Statement: [The Design of Rijndael, series, Information Security and Cryptography]
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: Information Security and Cryptography
Triple: [The Design of Rijndael, series, Information Security and Cryptography]
Generated description
Information Security and Cryptography is a technical book series focused on advanced research and practical developments in securing information systems and cryptographic methods.

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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610faa77081908956b6e8b5b1570c completed May 2, 2026, 2:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aeba42d88190b867fa6279dada9d completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af82fb088190bee576d403827a3e completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b02a01f4819088f0f84f9ca335af completed May 23, 2026, 1:48 p.m.
Created at: April 26, 2026, 11:36 p.m.