Triple

T9931342
Position Surface form Disambiguated ID Type / Status
Subject MD5 E192654 entity
Predicate basedOn P98 FINISHED
Object MD4
MD4 is a cryptographic hash function designed by Ronald Rivest that produces a 128-bit hash value and served as the basis for later algorithms like MD5.
 E830583 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: MD4 | Statement: [MD5, basedOn, MD4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MD4
Context triple: [MD5, basedOn, MD4]
  • A. MD5
    MD5 is a widely known but now cryptographically broken 128-bit hash function formerly used for checksums, data integrity, and security applications.
  • B. SHA-1
    SHA-1 is a now-legacy 160-bit cryptographic hash function once widely used for data integrity and digital signatures but today considered insecure due to practical collision attacks.
  • C. RIPEMD-160
    RIPEMD-160 is a 160-bit cryptographic hash function designed as an alternative to SHA-1, commonly used for data integrity and security applications.
  • D. SHA-0
    SHA-0 is an early, now-obsolete cryptographic hash function in the Secure Hash Algorithm family, known for its structural weaknesses and subsequent replacement by SHA-1.
  • E. CRAM-MD5
    CRAM-MD5 is a challenge–response authentication mechanism that uses MD5 hashing to securely verify a user's identity without transmitting their password in plaintext.
  • 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: MD4
Triple: [MD5, basedOn, MD4]
Generated description
MD4 is a cryptographic hash function designed by Ronald Rivest that produces a 128-bit hash value and served as the basis for later algorithms like MD5.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MD4
Target entity description: MD4 is a cryptographic hash function designed by Ronald Rivest that produces a 128-bit hash value and served as the basis for later algorithms like MD5.
  • A. MD5
    MD5 is a widely known but now cryptographically broken 128-bit hash function formerly used for checksums, data integrity, and security applications.
  • B. SHA-1
    SHA-1 is a now-legacy 160-bit cryptographic hash function once widely used for data integrity and digital signatures but today considered insecure due to practical collision attacks.
  • C. RIPEMD-160
    RIPEMD-160 is a 160-bit cryptographic hash function designed as an alternative to SHA-1, commonly used for data integrity and security applications.
  • D. SHA-0
    SHA-0 is an early, now-obsolete cryptographic hash function in the Secure Hash Algorithm family, known for its structural weaknesses and subsequent replacement by SHA-1.
  • E. CRAM-MD5
    CRAM-MD5 is a challenge–response authentication mechanism that uses MD5 hashing to securely verify a user's identity without transmitting their password in plaintext.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b54f348190b8e70e7beff6098a completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228cab0fc81908ff5fad6916c1bab completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22990ef5881908b6a6100d7dcf6e6 completed April 5, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69d22a0cb0808190a6119dc0268c50b9 completed April 5, 2026, 9:23 a.m.
Created at: March 30, 2026, 8:43 p.m.