Triple

T1711959
Position Surface form Disambiguated ID Type / Status
Subject S/MIME E37201 entity
Predicate version P3286 FINISHED
Object S/MIME v3 E37201 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: S/MIME v3 | Statement: [S/MIME, version, S/MIME v3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S/MIME v3
Context triple: [S/MIME, version, S/MIME v3]
  • A. S/MIME chosen
    S/MIME is a widely used standard for secure email that provides encryption and digital signatures using public key cryptography.
  • B. PKCS #7
    PKCS #7 is a cryptographic standard that defines the syntax for digitally signing and encrypting data, forming the basis for formats like S/MIME and CMS (Cryptographic Message Syntax).
  • C. PGP
    PGP (Pretty Good Privacy) is an encryption program that provides cryptographic privacy and authentication for data communication, most notably for securing emails and files.
  • D. PKCS #1
    PKCS #1 is a cryptographic standard that defines the mathematical properties, formats, and padding schemes for implementing RSA encryption and digital signatures.
  • E. MIME
    MIME (Multipurpose Internet Mail Extensions) is an internet standard that extends the format of email to support text in character sets beyond ASCII, as well as attachments like images, audio, video, and application files.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6315afdc81908409435bb47e8ee0 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada97dfb1c819084e750a8550d3e82 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:30 p.m.