Triple

T2002174
Position Surface form Disambiguated ID Type / Status
Subject Daniel J. Bernstein E43494 entity
Predicate notableWork P4 FINISHED
Object ChaCha
ChaCha is a family of high-speed stream ciphers designed for secure encryption, widely used in modern internet protocols such as TLS and SSH.
 E224025 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: ChaCha | Statement: [Daniel J. Bernstein, notableWork, ChaCha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ChaCha
Context triple: [Daniel J. Bernstein, notableWork, ChaCha]
  • A. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • B. Chloe
    Chloe is an epithet of the Greek goddess Demeter, highlighting her aspect as the bringer of new green growth and flourishing vegetation.
  • C. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • D. Chaz
    Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
  • E. Charlene
    Charlene is a feminine given name derived from the male name Charles.
  • 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: ChaCha
Triple: [Daniel J. Bernstein, notableWork, ChaCha]
Generated description
ChaCha is a family of high-speed stream ciphers designed for secure encryption, widely used in modern internet protocols such as TLS and SSH.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ChaCha
Target entity description: ChaCha is a family of high-speed stream ciphers designed for secure encryption, widely used in modern internet protocols such as TLS and SSH.
  • A. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • B. Chloe
    Chloe is an epithet of the Greek goddess Demeter, highlighting her aspect as the bringer of new green growth and flourishing vegetation.
  • C. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • D. Chaz
    Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
  • E. Charlene
    Charlene is a feminine given name derived from the male name Charles.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8820cec8190a945e5daeb8c9df6 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0342ef8c8190b7771076282981c3 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae057cc1a08190895031fa6c095f49 completed March 8, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69ae0751eff4819086e5469a2c56a24d completed March 8, 2026, 11:33 p.m.
Created at: March 4, 2026, 7:37 p.m.