Triple

T12515513
Position Surface form Disambiguated ID Type / Status
Subject RFC 4880 E299181 entity
Predicate relatedTo P37 FINISHED
Object Pretty Good Privacy E35340 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: Pretty Good Privacy | Statement: [RFC 4880, relatedTo, Pretty Good Privacy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pretty Good Privacy
Context triple: [RFC 4880, relatedTo, Pretty Good Privacy]
  • A. PGP chosen
    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. Pgp
    Pgp is a membrane transport protein that functions as an ATP-dependent efflux pump, playing a key role in multidrug resistance by exporting various drugs and xenobiotics out of cells.
  • 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. S/MIME
    S/MIME is a widely used standard for secure email that provides encryption and digital signatures using public key cryptography.
  • E. Multipurpose Internet Mail Extensions
    Multipurpose Internet Mail Extensions (MIME) 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.