Triple

T1718345
Position Surface form Disambiguated ID Type / Status
Subject NFS E37337 entity
Predicate authenticationMechanism P18412 FINISHED
Object Kerberos E191937 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: Kerberos | Statement: [NFS, authenticationMechanism, Kerberos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerberos
Context triple: [NFS, authenticationMechanism, Kerberos]
  • A. Kerberos
    Kerberos is a small, irregularly shaped moon of Pluto discovered in 2011 as part of the Pluto system’s complex family of satellites.
  • B. Kerberos chosen
    Kerberos is a network authentication protocol that uses secret-key cryptography to securely verify the identity of users and services in distributed systems.
  • C. Mopria
    Mopria is a universal mobile printing standard that enables seamless, driverless printing from devices like smartphones, tablets, and Chromebooks to compatible printers.
  • D. Netscape Directory Server
    Netscape Directory Server is an LDAP-based directory service software that provides centralized, scalable management of user and resource information for enterprise networks.
  • E. KMS
    KMS is the Dutch abbreviation for the Royal Military Academy in Belgium, the institution responsible for training officers for the Belgian Armed Forces.
  • 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_69abaffc4e5c81908ce0b9cfe833445e completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae6940c81909c1ebdfb0cdef5fc completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.