Triple

T497650
Position Surface form Disambiguated ID Type / Status
Subject GNU Project E10329 entity
Predicate hasPart P35 FINISHED
Object GNU Privacy Guard
GNU Privacy Guard is a free, open-source implementation of the OpenPGP standard used for encrypting and signing data and communications.
E61959 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: GNU Privacy Guard | Statement: [GNU Project, hasPart, GNU Privacy Guard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU Privacy Guard
Context triple: [GNU Project, hasPart, GNU Privacy Guard]
  • 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. Gnus
    Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
  • C. GNU Project
    The GNU Project is a free software initiative that created many core components of the GNU/Linux operating system and pioneered the modern free software movement.
  • D. Werner Koch
    Werner Koch is a German free software developer best known as the principal author and maintainer of the GNU Privacy Guard (GnuPG) encryption software.
  • E. S/MIME
    S/MIME is a widely used standard for secure email that provides encryption and digital signatures using public key cryptography.
  • 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: GNU Privacy Guard
Triple: [GNU Project, hasPart, GNU Privacy Guard]
Generated description
GNU Privacy Guard is a free, open-source implementation of the OpenPGP standard used for encrypting and signing data and communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GNU Privacy Guard
Target entity description: GNU Privacy Guard is a free, open-source implementation of the OpenPGP standard used for encrypting and signing data and communications.
  • 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. Gnus
    Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
  • C. GNU Project
    The GNU Project is a free software initiative that created many core components of the GNU/Linux operating system and pioneered the modern free software movement.
  • D. Werner Koch
    Werner Koch is a German free software developer best known as the principal author and maintainer of the GNU Privacy Guard (GnuPG) encryption software.
  • E. S/MIME
    S/MIME is a widely used standard for secure email that provides encryption and digital signatures using public key cryptography.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1183e988190bce70932a9678134 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481efc3a881909575c5981e13a16b completed March 1, 2026, 6:14 p.m.
NEDg Description generation batch_69a48352d91481909fb2119752595927 completed March 1, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_69a483bb51c48190a0c2d9a3198e0ae2 completed March 1, 2026, 6:21 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.