Triple

T6308260
Position Surface form Disambiguated ID Type / Status
Subject Phil Zimmermann E141432 entity
Predicate influenced P9 FINISHED
Object OpenPGP standard E299181 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: OpenPGP standard | Statement: [Phil Zimmermann, influenced, OpenPGP standard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenPGP standard
Context triple: [Phil Zimmermann, influenced, OpenPGP standard]
  • A. 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.
  • B. RFC 4880 chosen
    RFC 4880 is the Internet Engineering Task Force (IETF) standard that defines the OpenPGP message format for encrypted and signed data.
  • C. GNU Privacy Guard
    GNU Privacy Guard is a free, open-source implementation of the OpenPGP standard used for encrypting and signing data and communications.
  • 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. gpgsm
    gpgsm is the GNU Privacy Guard component that handles S/MIME public key cryptography, including X.509 certificate management and related operations.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647d38008190abaf96632712ddf9 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45330ec8190945682962ae823b0 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.