Triple

T5561232
Position Surface form Disambiguated ID Type / Status
Subject LORRI E145769 entity
Predicate flybyTarget P28276 FINISHED
Object Kerberos E110988 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: [LORRI, flybyTarget, Kerberos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerberos
Context triple: [LORRI, flybyTarget, Kerberos]
  • A. Kerberos chosen
    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
    Kerberos is a network authentication protocol that uses secret-key cryptography to securely verify the identity of users and services in distributed systems.
  • C. NTLM
    NTLM is a Microsoft authentication protocol used to validate users and secure access in Windows-based networks and services.
  • D. Secure Authentication Version 5
    Secure Authentication Version 5 is a security enhancement for the DNP3 protocol that provides robust authentication and protection against unauthorized control and cyber attacks in industrial control systems.
  • E. Kanmu
    Kanmu was a powerful Japanese emperor of the late 8th and early 9th centuries best known for relocating the capital to Heian-kyō, laying the foundations of the Heian period.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d76e4081908570dc34217c66fe completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d0681b08190b42f3812ce8a8e45 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:36 p.m.