Triple

T16622924
Position Surface form Disambiguated ID Type / Status
Subject Cisco Ramon E403876 entity
Predicate nickname P55 FINISHED
Object Cisco E1187590 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: Cisco | Statement: [Cisco Ramon, nickname, Cisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cisco
Context triple: [Cisco Ramon, nickname, Cisco]
  • A. Cisco chosen
    Cisco is a central member of the hacker collective fsociety in the television series "Mr. Robot," known for his technical skills and involvement in the group's cyber-activism.
  • B. Cisco Systems
    Cisco Systems is a multinational technology conglomerate best known for designing and selling networking hardware, software, and telecommunications equipment used worldwide.
  • C. Juniper Networks
    Juniper Networks is a multinational networking and cybersecurity company known for its high-performance routers, switches, and related infrastructure solutions for service providers and enterprises.
  • D. Arista Networks
    Arista Networks is a cloud networking company known for its high-performance data center switches and software-driven network solutions.
  • E. Cisco Catalyst switches
    Cisco Catalyst switches are a family of enterprise-grade network switches from Cisco Systems designed for high-performance, secure, and scalable campus and data center networking.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754f4f508190a5b4b8511623fcd4 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db4a9288190aea7db58bb379404 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.