Triple

T7414866
Position Surface form Disambiguated ID Type / Status
Subject Joan Daemen E171103 entity
Predicate designerOf P184 FINISHED
Object Xoodoo
Xoodoo is a lightweight cryptographic permutation designed for use in sponge-based constructions such as hash functions and authenticated encryption schemes.
 E663901 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: Xoodoo | Statement: [Joan Daemen, designerOf, Xoodoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xoodoo
Context triple: [Joan Daemen, designerOf, Xoodoo]
  • A. Xylok
    Xylok is a fictional alien species, likely characterized by non-human biology and culture, to which the character Mr Smith belongs.
  • B. Neox
    Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
  • C. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • D. Xombi
    Xombi is a Milestone Media comic book series that follows an immortal, nanotechnology-enhanced man battling supernatural and horror-themed threats.
  • E. Dixinn
    Dixinn is an urban commune and key administrative district within the capital city of Conakry in Guinea.
  • 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: Xoodoo
Triple: [Joan Daemen, designerOf, Xoodoo]
Generated description
Xoodoo is a lightweight cryptographic permutation designed for use in sponge-based constructions such as hash functions and authenticated encryption schemes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xoodoo
Target entity description: Xoodoo is a lightweight cryptographic permutation designed for use in sponge-based constructions such as hash functions and authenticated encryption schemes.
  • A. Xylok
    Xylok is a fictional alien species, likely characterized by non-human biology and culture, to which the character Mr Smith belongs.
  • B. Neox
    Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
  • C. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • D. Xombi
    Xombi is a Milestone Media comic book series that follows an immortal, nanotechnology-enhanced man battling supernatural and horror-themed threats.
  • E. Dixinn
    Dixinn is an urban commune and key administrative district within the capital city of Conakry in Guinea.
  • 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.